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August 26, 2015, at 10:36 AM EST by 129.252.33.84 -
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Office Hours: TTH 2:30PM-3:30PM or by Appointment.

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Office Hours: MW 2:30PM-3:30PM or by Appointment.

August 19, 2015, at 01:51 PM EST by 129.252.33.9 -
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Jewel T. Rogers 803 777-7849 (phone)

to:

Randi 803 777-7849 (phone)

August 19, 2015, at 01:50 PM EST by 129.252.33.9 -
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CSCE 569 Parallel Computing, Spring 2011

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CSCE 569 Parallel Computing, Fall 2015

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TTH 3:30PM- 4:45PM\\

to:

MWF 1:10PM- 2:00PM\\

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Parallel Programming: for Multicore and Cluster Systems By:Thomas Rauber (Author), Gudula Rünger (Author) Publisher: Springer; 1st Edition. edition (March 10, 2010)\\

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Introduction to parallel programming By:Peter S. Pacheco Publisher: Morgan Kaufmann\\

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ISBN-10: 364204817X
ISBN-13: 978-3642048173

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ISBN-10: 0123742609
ISBN-13: 978-0123742605

January 08, 2011, at 12:36 AM EST by 206.53.113.46 -
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CSCE 569 Parallel Computing, Spring 2009

to:

CSCE 569 Parallel Computing, Spring 2011

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MWF 11:15AM-12:05PM\\

to:

TTH 3:30PM- 4:45PM\\

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Parallel Programming in C with MPI and OpenMP (Hardcover) by Michael Quinn 2003

Hardcover: 544 pages
Publisher: McGraw-Hill Science/Engineering/Math; 1 edition (June 5, 2003)\\

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Parallel Programming: for Multicore and Cluster Systems By:Thomas Rauber (Author), Gudula Rünger (Author) Publisher: Springer; 1st Edition. edition (March 10, 2010)\\

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ISBN-10: 0072822562
ISBN-13: 978-0072822564

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ISBN-10: 364204817X
ISBN-13: 978-3642048173

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Office Hours: MW 1:00PM-2:00PM or by Appointment.

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Office Hours: TTH 2:30PM-3:30PM or by Appointment.

January 26, 2009, at 10:04 AM EST by 127.0.0.2 -
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Office Hours: MW 1:00PM-2:30PM or by Appointment.

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Office Hours: MW 1:00PM-2:00PM or by Appointment.

January 26, 2009, at 10:02 AM EST by 127.0.0.2 -
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Office Hours: MW 1:30PM-3:30PM or by Appointment.

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Office Hours: MW 1:00PM-2:30PM or by Appointment.

November 20, 2008, at 03:53 PM EST by 129.252.11.58 -
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Hardcover: 544 pages Publisher: McGraw-Hill Science/Engineering/Math; 1 edition (June 5, 2003) Language: English ISBN-10: 0072822562

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Hardcover: 544 pages
Publisher: McGraw-Hill Science/Engineering/Math; 1 edition (June 5, 2003)
Language: English
ISBN-10: 0072822562\\

November 20, 2008, at 03:52 PM EST by 129.252.11.58 -
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Parallel Programming in C with MPI and OpenMP (Hardcover) by Michael Quinn 2003 Hardcover: 544 pages Publisher: McGraw-Hill Science/Engineering/Math; 1 edition (June 5, 2003) Language: English ISBN-10: 0072822562 ISBN-13: 978-0072822564

November 10, 2008, at 11:28 PM EST by 98.25.200.85 -
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Supercomputers at USC College of Engineering (from HPC)

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Supercomputers at USC College of Engineering and Computing(from HPC)

October 15, 2008, at 12:49 PM EST by 129.252.11.192 -
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img http://mycounter.tinycounter.com/index.php?user=gespim

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http://mycounter.tinycounter.com/index.php?user=gespim

October 15, 2008, at 12:48 PM EST by 129.252.11.192 -
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<a href="http://www.tinycounter.com" target="_blank" title="free counter"><img border="0" alt="free counter" src="http://mycounter.tinycounter.com/index.php?user=gespim"></a>

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img http://mycounter.tinycounter.com/index.php?user=gespim

October 15, 2008, at 12:47 PM EST by 129.252.11.192 -
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301 Main Street, Columbia, SC, 29201

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301 Main Street, Columbia, SC, 29201

<a href="http://www.tinycounter.com" target="_blank" title="free counter"><img border="0" alt="free counter" src="http://mycounter.tinycounter.com/index.php?user=gespim"></a>

October 14, 2008, at 01:28 PM EST by 129.252.11.192 -
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October 14, 2008, at 11:30 AM EST by 127.0.0.2 -
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Supercomputers at USC College of Engineering (from [[http://www.engr.sc.edu/hpcg/symacc.html|HPC

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Supercomputers at USC College of Engineering (from HPC)

October 14, 2008, at 11:30 AM EST by 127.0.0.2 -
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Supercomputers at USC College of Engineering (from HPC homagpage)

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Supercomputers at USC College of Engineering (from [[http://www.engr.sc.edu/hpcg/symacc.html|HPC

October 14, 2008, at 11:29 AM EST by 127.0.0.2 -
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Supercomputers at USC College of Engineering (from HPC homagpage)

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Supercomputers at USC College of Engineering (from HPC homagpage)

October 14, 2008, at 11:22 AM EST by 127.0.0.2 -
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Supercomputers at USC College of Engineering

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Supercomputers at USC College of Engineering (from HPC homagpage)

October 14, 2008, at 11:21 AM EST by 127.0.0.2 -
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Supercomputers at USC College of Engineering

  • Nick Linux clusters with 291 CPUs
  • Optimus Linux clusters with 256 CPUs
  • Zia Share memory computer with 128 CPUs and 256 Shared memory
  • Nataku, Jaws2 (Chemistry Department) for fuel cell simulation and etc.
October 14, 2008, at 11:06 AM EST by 127.0.0.2 -
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'''Textbooks

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Textbooks

October 14, 2008, at 11:06 AM EST by 127.0.0.2 -
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'''Textbooks

October 14, 2008, at 10:56 AM EST by 127.0.0.2 -
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Many interesting applications, Hands-on projects, exposure to latest techniques. Topics include:

to:

Many interesting applications, Hands-on projects, exposure to latest techniques. Topics include but not limited to:

October 14, 2008, at 10:55 AM EST by 127.0.0.2 -
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Many interesting applications, Hands-on projects, exposure to latest techniques. Topics include:\\

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Many interesting applications, Hands-on projects, exposure to latest techniques. Topics include:

October 14, 2008, at 10:55 AM EST by 127.0.0.2 -
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Many interesting applications, Hands-on projects, exposure to techniques from

to:

Many interesting applications, Hands-on projects, exposure to latest techniques. Topics include:
*Linux cluster computing

  • PBS systems
  • Parallel programming using MPI, OpenMP, pthreads
October 14, 2008, at 10:49 AM EST by 127.0.0.2 -
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This course will cover the techniques and topics that are widely used in real-world parallel computing. This is about learning how to run your programs on hundreds of computers or thousands of CPUs to solve real-world large problems. This is about how to handle large-scale data processing as those used in Google.

to:

This course will cover the techniques and topics that are widely used in real-world parallel computing. This is about learning how to run your programs on hundreds of computers or thousands of CPUs to solve real-world large problems. This is about how to handle large-scale data processing as those used in Google. Students in science and engineering will all benefit from this course as scientific computing has become one of the main ways for discovery and invention.

October 14, 2008, at 10:47 AM EST by 127.0.0.2 -
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Meeting Time(s): MWF 11:15AM-12:05PM\\

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MWF 11:15AM-12:05PM\\

October 14, 2008, at 10:47 AM EST by 127.0.0.2 -
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Course Meeting Time & Location Meeting Time(s): MWF 11:15AM-12:05PM
Classroom: 2A21 Swearinger Engineering Center

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Course Meeting Time & Location

Meeting Time(s): MWF 11:15AM-12:05PM
Classroom: 2A21 Swearinger Engineering Center

to:
October 14, 2008, at 10:46 AM EST by 127.0.0.2 -
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Course CSCE 569 Parallel Computing

to:

CSCE 569 Parallel Computing, Spring 2009

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This course will cover the techniques and topics that are widely used in real-world parallel computing.

to:

This course will cover the techniques and topics that are widely used in real-world parallel computing. This is about learning how to run your programs on hundreds of computers or thousands of CPUs to solve real-world large problems. This is about how to handle large-scale data processing as those used in Google.

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Blue-gene SuperComputer with 212992 CPUs

October 14, 2008, at 10:42 AM EST by 127.0.0.2 -
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Img:http://graphics8.nytimes.com/images/blogs/bits/posts/supercomputer.533.jpg

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http://graphics8.nytimes.com/images/blogs/bits/posts/supercomputer.533.jpg

October 14, 2008, at 10:41 AM EST by 127.0.0.2 -
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This course will cover the techniques and topics that are widely used in real-world parallel computing.

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This course will cover the techniques and topics that are widely used in real-world parallel computing.

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to:

Img:http://graphics8.nytimes.com/images/blogs/bits/posts/supercomputer.533.jpg

October 14, 2008, at 10:35 AM EST by 127.0.0.2 -
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If you have problem to enroll, pls contact/call CSE secretary

Jewel T. Rogers 803 777-7849 (phone) Swearingen Bldg., Room 3A01L

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to:

If you have problem to enroll, pls contact/call CSE secretary

Jewel T. Rogers 803 777-7849 (phone) Swearingen Bldg., Room 3A01L

October 14, 2008, at 10:34 AM EST by 127.0.0.2 -
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Course Description This course will cover the techniques and topics that are widely used in real-world parallel computing.

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Course Description This course will cover the techniques and topics that are widely used in real-world parallel computing.

to:
October 14, 2008, at 10:31 AM EST by 127.0.0.2 -
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Course CSCE 822 - DATA MINING&WAREHOUSING

to:

Course CSCE 569 Parallel Computing

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Many interesting applications, Hands-on projects, exposure to techniques from machine learning, pattern recognization, statistics, mathematics, and computational intelligence

to:

Many interesting applications, Hands-on projects, exposure to techniques from

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Meeting Time(s): MW 4:00PM- 5:15PM\\

to:

Meeting Time(s): MWF 11:15AM-12:05PM\\

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You should be able to write some basic programs to do data format manipulation or implement some basic algorithms.

to:

You should be able to program using high-level language C/C++ or java.

Changed lines 35-43 from:

Easy acquision of huge amount of data in science, business, and national security makes it critial to extract informative knowledge and patterns from these data to ensure the competitiveness in the world. Data mining have been intensively used in large companies such as IBM, HP, Ebay, Wellsfargo, by govenmental organizations such as National Security Agency and CIA, and in the emerging fields of genomics or bioinformatics. Understanding principles of data mining and obtaining hands-on experience of implementing data mining projects will greatly improve the competitiveness of students in the job market as well as enhancing their research skills. This course will cover the techniques and topics that are widely used in real-world data mining including classification, clustering, dimension reduction, feature selection, frequent itemset mining, open-ended knowledge discovery, and etc. We will use real-world data (including bioinformatics) to challenge your skills of data mining. Students from computer science, engineering, biostatistics, (molecular) biology, medicine are all encouraged to enroll.

to:

This course will cover the techniques and topics that are widely used in real-world parallel computing.

August 24, 2008, at 06:10 PM EST by 129.252.11.192 -
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You should be able to write some basic programs to do data format manipulation and or implement some basic algorithms.

to:

You should be able to write some basic programs to do data format manipulation or implement some basic algorithms.

August 24, 2008, at 06:10 PM EST by 129.252.11.192 -
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You must be able to write programs to do data format manipulation and implement some basic algorithms.

to:

You should be able to write some basic programs to do data format manipulation and or implement some basic algorithms.

August 21, 2008, at 10:39 AM EST by 129.252.11.192 -
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to:

Prerequisite You must be able to write programs to do data format manipulation and implement some basic algorithms.

Changed lines 34-42 from:

Easy acquision of huge amount of data in science, business, and national security makes it critial to extract informative knowledge and patterns from these data to ensure the competitiveness in the world. Data mining have been intensively used in large companies such as IBM, HP, Ebay, Wellsfargo, by govenmental organizations such as National Security Agency and CIA, and in the emerging field of genomics or bioinformatics. Understanding the principles of data mining and obtaining hands-on experience of implementing data mining projects will greatly improve the competitiveness of students in the job market as well as enhance their research skills. This course will cover the techniques and topics that are widely used in real-world data mining projects including classification, clustering, dimension reduction, feature selection, open-ended knowledge discovery, and etc. We will use real-world data (including bioinformatics) to challenge your skills of data mining. Students from computer science, engineering, biostatistics, (molecular) biology, medicine are all encouraged to enroll.

to:

Easy acquision of huge amount of data in science, business, and national security makes it critial to extract informative knowledge and patterns from these data to ensure the competitiveness in the world. Data mining have been intensively used in large companies such as IBM, HP, Ebay, Wellsfargo, by govenmental organizations such as National Security Agency and CIA, and in the emerging fields of genomics or bioinformatics. Understanding principles of data mining and obtaining hands-on experience of implementing data mining projects will greatly improve the competitiveness of students in the job market as well as enhancing their research skills. This course will cover the techniques and topics that are widely used in real-world data mining including classification, clustering, dimension reduction, feature selection, frequent itemset mining, open-ended knowledge discovery, and etc. We will use real-world data (including bioinformatics) to challenge your skills of data mining. Students from computer science, engineering, biostatistics, (molecular) biology, medicine are all encouraged to enroll.

August 13, 2008, at 12:50 PM EST by 129.252.11.192 -
Changed lines 32-40 from:

Easy acquision of huge amount of data in science, business, and national security makes it critial to extract informative knowledge and patterns from these data to ensure the competitiveness in the world. Data mining have been intensively used in large companies such as IBM, HP, Ebay, Wellsfargo, by govenmental organizations such as National Security Agency and CIA, and in the emerging field of genomics or bioinformatics. Understanding the principles of data mining and obtaining hands-on experience of implementing data mining projects will greatly improve the competitiveness of students in the job market as well as enhance their research skills. This course will cover the techniques and topics that are widely used in real-world data mining projects including classification, clustering, dimension reduction, feature selection, open-ended knowledge discovery, and etc. We will use real-world data (mostly from bioinformatics applications) to challenge your skills of data mining. Students from computer science, engineering, biostatistics, (molecular) biology, medicine are all encouraged to enroll.

to:

Easy acquision of huge amount of data in science, business, and national security makes it critial to extract informative knowledge and patterns from these data to ensure the competitiveness in the world. Data mining have been intensively used in large companies such as IBM, HP, Ebay, Wellsfargo, by govenmental organizations such as National Security Agency and CIA, and in the emerging field of genomics or bioinformatics. Understanding the principles of data mining and obtaining hands-on experience of implementing data mining projects will greatly improve the competitiveness of students in the job market as well as enhance their research skills. This course will cover the techniques and topics that are widely used in real-world data mining projects including classification, clustering, dimension reduction, feature selection, open-ended knowledge discovery, and etc. We will use real-world data (including bioinformatics) to challenge your skills of data mining. Students from computer science, engineering, biostatistics, (molecular) biology, medicine are all encouraged to enroll.

August 13, 2008, at 11:52 AM EST by 129.252.11.192 -
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Course Title: CSCE 822 - DATA MINING&WAREHOUSING

to:

Course Title: CSCE 822 - DATA MINING&WAREHOUSING

August 13, 2008, at 11:52 AM EST by 129.252.11.192 -
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August 13, 2008, at 11:52 AM EST by 129.252.11.192 -
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Course Title: CSCE 822 - DATA MINING&WAREHOUSING

to:

Course Title: CSCE 822 - DATA MINING&WAREHOUSING

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Course Level: Graduate (CSCE822)

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August 13, 2008, at 11:52 AM EST by 129.252.11.192 -
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August 13, 2008, at 11:51 AM EST by 129.252.11.192 -
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Course Title: Data Mining Principles and Applications\\

to:

Course Title: CSCE 822 - DATA MINING&WAREHOUSING

August 13, 2008, at 11:51 AM EST by 129.252.11.192 -
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http://scigen.org/datamining/pub/skins/pmwiki/dmicon.jpg

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August 13, 2008, at 11:50 AM EST by 129.252.11.192 -
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Classroom: 2A31 Swearinger Engineering Center

to:

Classroom: 2A21 Swearinger Engineering Center

August 13, 2008, at 11:29 AM EST by 127.0.0.2 -
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Machine Learning and Evolution Group (MLEG)\\

August 13, 2008, at 11:27 AM EST by 127.0.0.2 -
August 13, 2008, at 11:25 AM EST by 127.0.0.2 -
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Instructor: Dr. Jianjun Hu
Email: jianjunh AT cse.sc.edu
Office: 3A66 Swearinger Engineering Center
Office Hours: MW 1:30PM-3:30PM or by Appointment.

Changed lines 28-34 from:

Instructor: Dr. Jianjun Hu
Email: jianjunh AT cse.sc.edu
Office: 3A66 Swearinger Engineering Center
Office Hours: MW 1:30PM-3:30PM or by Appointment.

to:
August 13, 2008, at 11:25 AM EST by 127.0.0.2 -
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Course Description Easy acquision of huge amount of data in science, business, and national security makes it critial to extract informative knowledge and patterns from these data to ensure the competitiveness in the world. Data mining have been intensively used in large companies such as IBM, HP, Ebay, Wellsfargo, by govenmental organizations such as National Security Agency and CIA, and in the emerging field of genomics or bioinformatics. Understanding the principles of data mining and obtaining hands-on experience of implementing data mining projects will greatly improve the competitiveness of students in the job market as well as enhance their research skills. This course will cover the techniques and topics that are widely used in real-world data mining projects including classification, clustering, dimension reduction, feature selection, open-ended knowledge discovery, and etc. We will use real-world data (mostly from bioinformatics applications) to challenge your skills of data mining. Students from computer science, engineering, biostatistics, (molecular) biology, medicine are all encouraged to enroll.

Changed lines 29-30 from:
to:

Course Description Easy acquision of huge amount of data in science, business, and national security makes it critial to extract informative knowledge and patterns from these data to ensure the competitiveness in the world. Data mining have been intensively used in large companies such as IBM, HP, Ebay, Wellsfargo, by govenmental organizations such as National Security Agency and CIA, and in the emerging field of genomics or bioinformatics. Understanding the principles of data mining and obtaining hands-on experience of implementing data mining projects will greatly improve the competitiveness of students in the job market as well as enhance their research skills. This course will cover the techniques and topics that are widely used in real-world data mining projects including classification, clustering, dimension reduction, feature selection, open-ended knowledge discovery, and etc. We will use real-world data (mostly from bioinformatics applications) to challenge your skills of data mining. Students from computer science, engineering, biostatistics, (molecular) biology, medicine are all encouraged to enroll.

August 13, 2008, at 11:22 AM EST by 127.0.0.2 -
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Course Title: CSCE 822 - DATA MINING&WAREHOUSING

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Course CSCE 822 - DATA MINING&WAREHOUSING

May 08, 2008, at 01:06 AM EST by 71.76.13.60 -
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Course Level: Undergraduate (CSCE590)/Graduate (CSCE822)

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Course Level: Graduate (CSCE822)

August 21, 2007, at 12:38 PM EST by 129.252.11.94 -
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Jewel T. Rogers\\803 777-7849 (phone)

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Jewel T. Rogers 803 777-7849 (phone)

August 21, 2007, at 12:37 PM EST by 129.252.11.94 -
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If you have problem to enroll, pls email me jianjunh@cse.sc.edu

to:

If you have problem to enroll, pls contact/call CSE secretary

Jewel T. Rogers\\803 777-7849 (phone) Swearingen Bldg., Room 3A01L

August 19, 2007, at 07:41 PM EST by 71.76.5.59 -
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Office Hours: TH10:00AM-12:00AM or by Appointment.

to:

Office Hours: MW 1:30PM-3:30PM or by Appointment.

August 19, 2007, at 07:39 PM EST by 71.76.5.59 -
August 19, 2007, at 07:38 PM EST by 71.76.5.59 -
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August 19, 2007, at 07:38 PM EST by 71.76.5.59 -
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Department of Computer Science and Engineering
University of South Carolina

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Department of Computer Science and Engineering
University of South Carolina

August 19, 2007, at 06:15 PM EST by 71.76.5.59 -
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If you have problem to enroll, pls email me jianjunh@cse.sc.edu

August 19, 2007, at 06:02 PM EST by 71.76.5.59 -
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Course Title: Data Mining Principles and Applications

to:

Course Title: Data Mining Principles and Applications
Department of Computer Science and Engineering
University of South Carolina

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Course Level: Undergraduate/Graduate

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Course Level: Undergraduate (CSCE590)/Graduate (CSCE822)

August 19, 2007, at 05:56 PM EST by 71.76.5.59 -
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Instructor: Dr. Jianjun Hu\\

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Instructor: Dr. Jianjun Hu\\

August 19, 2007, at 05:54 PM EST by 71.76.5.59 -
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Course Title: Data Mining Principles with Applications in Bioinformatics http://darwin.cse.sc.edu/datamining/pub/skins/pmwiki/dmicon.jpg

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Course Title: Data Mining Principles and Applications http://scigen.org/datamining/pub/skins/pmwiki/dmicon.jpg

August 19, 2007, at 05:54 PM EST by 71.76.5.59 -
August 19, 2007, at 03:52 AM EST by 71.76.5.59 -
August 15, 2007, at 05:20 PM EST by admin -
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Couse Description

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Course Highlights Many interesting applications, Hands-on projects, exposure to techniques from machine learning, pattern recognization, statistics, mathematics, and computational intelligence

Course Description

August 15, 2007, at 05:15 PM EST by admin -
Changed lines 8-10 from:

Easy acquision of huge amount of data in science, business, and national security makes it critial to extract informative knowledge and patterns from these data to ensure the competitiveness in the world. Data mining have been intensively used in large companies such as IBM, HP, Ebay, Wellsfargo, by govenmental organizations such as National Security Agency and CIA, and in the emerging field of genomics or bioinformatics. Understanding the principles of data mining and obtaining hands-on experience of implementing data mining projects will greatly improve the competitiveness of students in the job market as well as enhance their research skills. This course will cover the techniques and topics that are widely used in real-world data mining projects including classification, clustering, dimension reduction, feature selection, open-ended knowledge discovery, and etc. We will use real-world data (mostly from bioinformatics applications) to challenge your skills of data mining.

to:

Easy acquision of huge amount of data in science, business, and national security makes it critial to extract informative knowledge and patterns from these data to ensure the competitiveness in the world. Data mining have been intensively used in large companies such as IBM, HP, Ebay, Wellsfargo, by govenmental organizations such as National Security Agency and CIA, and in the emerging field of genomics or bioinformatics. Understanding the principles of data mining and obtaining hands-on experience of implementing data mining projects will greatly improve the competitiveness of students in the job market as well as enhance their research skills. This course will cover the techniques and topics that are widely used in real-world data mining projects including classification, clustering, dimension reduction, feature selection, open-ended knowledge discovery, and etc. We will use real-world data (mostly from bioinformatics applications) to challenge your skills of data mining. Students from computer science, engineering, biostatistics, (molecular) biology, medicine are all encouraged to enroll.

August 15, 2007, at 03:05 PM EST by admin -
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Course Level: Undergraduate/Graduate

August 15, 2007, at 03:02 PM EST by admin -
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Easy acquision of huge amount of data in science, business, and national security makes it critial to extract informative knowledge and patterns from these data to ensure our leadership. Understanding data mining principles and obtaining hands-on experience of implementing data mining projects will greatly improve the competitiveness of students in the job market as well as enhance their research skills. This course will cover the techniques and topics that are widely used in real-world data mining projects including classification, clustering, dimension reduction, feature selection, open-ended knowledge discovery, and etc. We will use real-world data (mostly from bioinformatics applications) to challenge your skills of data mining.

to:

Easy acquision of huge amount of data in science, business, and national security makes it critial to extract informative knowledge and patterns from these data to ensure the competitiveness in the world. Data mining have been intensively used in large companies such as IBM, HP, Ebay, Wellsfargo, by govenmental organizations such as National Security Agency and CIA, and in the emerging field of genomics or bioinformatics. Understanding the principles of data mining and obtaining hands-on experience of implementing data mining projects will greatly improve the competitiveness of students in the job market as well as enhance their research skills. This course will cover the techniques and topics that are widely used in real-world data mining projects including classification, clustering, dimension reduction, feature selection, open-ended knowledge discovery, and etc. We will use real-world data (mostly from bioinformatics applications) to challenge your skills of data mining.

August 15, 2007, at 02:57 PM EST by admin -
Changed lines 6-8 from:

Easy acquision of huge amount of data in science, business, and national security makes it critial to extract informative knowledge and patterns from these data to ensure our leadership. Understanding data mining principles and obtaining hands-on experience of implementing data mining projects will greatly improve the competitiveness of students in the job market as well as enhance their research skills. This course will cover the techniques and topics that are widely used in real-world data mining projects including classification, clustering, dimension reduction, feature selection, open-ended knowledge discovery, and etc. We will use real-world data to challenge your skills of data mining.

to:

Easy acquision of huge amount of data in science, business, and national security makes it critial to extract informative knowledge and patterns from these data to ensure our leadership. Understanding data mining principles and obtaining hands-on experience of implementing data mining projects will greatly improve the competitiveness of students in the job market as well as enhance their research skills. This course will cover the techniques and topics that are widely used in real-world data mining projects including classification, clustering, dimension reduction, feature selection, open-ended knowledge discovery, and etc. We will use real-world data (mostly from bioinformatics applications) to challenge your skills of data mining.

August 15, 2007, at 02:56 PM EST by admin -
Changed lines 6-8 from:

Easy acquision of huge amount of data in science, business, and national security makes it critial to extract informative knowledge and patterns from these data to ensure our leadership. Understanding data mining principles and obtaining hands-on experience of implementing data mining projects will greatly improve the competitiveness of students in the job market as well as enhance their research skills.

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Easy acquision of huge amount of data in science, business, and national security makes it critial to extract informative knowledge and patterns from these data to ensure our leadership. Understanding data mining principles and obtaining hands-on experience of implementing data mining projects will greatly improve the competitiveness of students in the job market as well as enhance their research skills. This course will cover the techniques and topics that are widely used in real-world data mining projects including classification, clustering, dimension reduction, feature selection, open-ended knowledge discovery, and etc. We will use real-world data to challenge your skills of data mining.

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Meeting Time(s): MW 4:00PM- 5:15PM

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Meeting Time(s): MW 4:00PM- 5:15PM\\

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Instructor: Dr. Jianjun Hu\\

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Instructor: Dr. Jianjun Hu\\

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Easy acquision of huge amount of data in science, business, national security and makes it critial to extract informative knowledge and patterns from these data to ensure our leadership. Understanding the data mining principles and obtaining the hands-on experience of implementing data mining projects will greatly improve the competitiveness of students in the job market as well as enhance their research skills.

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Easy acquision of huge amount of data in science, business, and national security makes it critial to extract informative knowledge and patterns from these data to ensure our leadership. Understanding data mining principles and obtaining hands-on experience of implementing data mining projects will greatly improve the competitiveness of students in the job market as well as enhance their research skills.

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Easy acquision of huge amount of data in science, business, national security and makes it critial to extract informative knowledge and patterns from these data to ensure our leadership. Understanding the data mining principles and obtaining the hands-on experience of implementing data mining projects will greatly improve the competitiveness of students in the job market as well as enhance their research skills.

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College of Engineering and Computing\\

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301 Main Street, Columbia, SC, 29201\\

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301 Main Street, Columbia, SC, 29201

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Instructor: Dr. Jianjun Hu

Email: jianjunh AT cse.sc.edu

Office: 3A66 Swearinger Engineering Center

Department of Computer Science and Engineering University of South Carolina 301 Main Street, Columbia, SC, 29201

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Instructor: Dr. Jianjun Hu
Email: jianjunh AT cse.sc.edu
Office: 3A66 Swearinger Engineering Center
Office Hours: TH10:00AM-12:00AM or by Appointment.

Department of Computer Science and Engineering
University of South Carolina
301 Main Street, Columbia, SC, 29201\\

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Couse Description

Course Meeting Time & Location

Meeting Time(s): MW 4:00PM- 5:15PM

Classroom: 2A31 Swearinger Engineering Center

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Office Hours:

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August 15, 2007, at 02:26 PM EST by admin -
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Welcome to Data Mining Course!

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Course Title: Data Mining Principles with Applications in Bioinformatics http://darwin.cse.sc.edu/datamining/pub/skins/pmwiki/dmicon.jpg

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Email: jianjunh AT cse.sc.edu Office: 3A66 Swearinger Engineering Center

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Department of Computer Science and Engineering University of South Carolina 301 Main Street, Columbia, SC, 29201

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A local copy of PmWiki's documentation has been installed along with the software, and is available via the documentation index.

To continue setting up PmWiki, see initial setup tasks.

The basic editing page describes how to create pages in PmWiki. You can practice editing in the wiki sandbox?.

More information about PmWiki is available from http://www.pmwiki.org . adddddd

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Instructor: Dr. Jianjun Hu Office Hours:

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Welcome to PmWiki!

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Welcome to Data Mining Course!

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