Data Mining

by Kargupta, Hillol; Joshi, Anupam; SIVAKUMAR, KRISHNAMOORTHY; Yesha, Yelena

• ISBN13: 9780262612036
• ISBN10: 0262612038
• Format: Paperback
• Copyright: 2004-10-01
• Publisher: Aaai Pr

Summary

Data mining, or knowledge discovery, has become an indispensable technology for businesses and researchers in many fields. Drawing on work in such areas as statistics, machine learning, pattern recognition, databases, and high performance computing, data mining extracts useful information from the large data sets now available to industry and science. This collection surveys the most recent advances in the field and charts directions for future research. The first part looks at pervasive, distributed, and stream data mining, discussing topics that include distributed data mining algorithms for new application areas, several aspects of next-generation data mining systems and applications, and detection of recurrent patterns in digital media. The second part considers data mining, counter-terrorism, and privacy concerns, examining such topics as biosurveillance, marshalling evidence through data mining, and link discovery. The third part looks at scientific data mining; topics include mining temporally-varying phenomena, data sets using graphs, and spatial data mining. The last part considers web, semantics, and data mining, examining advances in text mining algorithms and software, semantic webs, and other subjects.

Table of Contents

Foreword	ix
Preface	xiii
Pervasive, Distributed, and Stream Data Mining
1 Existential Pleasures of Distributed Data Mining
Hillol Kargupta and Krishamoorthy Sivakumar	3	(24)
2 Research Issues in Mining and Monitoring of Intelligence Data
Alan Demers, Johannes Gehrke, and Mirek Riedewald	27	(20)
3 A Consensus Framework for Integrating Distributed Clusterings Under Limited Knowledge Sharing
Joydeep Ghosh, Alexander Strehl, and Srujana Merugu	47	(20)
4 Design of Distributed Data Mining Applications on the Knowledge Grid
Mario Cannataro, Domenico Talia, and Paolo Trunfio	67	(22)
5 Photonic Data Services: Integrating Data, Network and Path Services to Support Next Generation Data Mining Applications
Robert L. Grossman, Yunhong Gu, Dave Hanley, Xinwei Hong, Jorge Levera, Marco Mazzucco, David Lillethun, Joe Mambretti, and Jeremy Weinberger	89	(16)
6 Mining Frequent Patterns in Data Streams at Multiple Time Granularities
Chris Giannella, Jiawei Han, Jian Pei, Xifeng Yan, and Philip S. Yu	105	(20)
7 Efficient Data-Reduction Methods for On-Line Association Rule Discovery
Hervé Brönnimann, Bin Chen, Manoranjan Dash, Peter Haas, and Peter Scheuermann	125	(22)
8 Discovering Recurrent Events in Multichannel Data Streams Using Unsupervised Methods
Milind R. Naphade, Chung-Sheng Li, and Thomas S. Huang	147	(10)
Counterterrorism, Privacy, and Data Mining
9 Data Mining for Counterterrorism
Bhavani Thuraisingham	157	(28)
10 Biosurveillance and Outbreak Detection
Paola Sebastiani and Kenneth D. Mandl	185	(14)
11 MINDS Minnesota Intrusion Detection System
Levent Ertöz, Eric Eilertson, Aleksandar Lazarevic, Pang-Ning Tan, Vipin Kumar Jaideep Srivastava, and Paul Dokas	199	(20)
12 Marshalling Evidence Through Data Mining in Support of Counter Terrorism
Daniel Barbará, James J. Nolan, David Schum, and Arun Sood	219	(20)
13 Relational Data Mining with Inductive Logic Programming for Link Discovery
Raymond J. Mooney, Preen Melville, Lappoon Rupert Tang, Jude Shavlik, Inês de Castro Dutra, David Page, and Vitor Santos Costa	239	(16)
14 Defining Privacy for Data Mining
Chris Clifton Murat Kantarcioglu, and Jaideep Vaidya	255	(18)
Scientific Data Mining
15 Mining Temporally-Varying Phenomena in Scientific Datasets
Raghu Machiraju, Srinivasan Parthasarathy, John Wilkins, David S. Thompson, Boyd Gatlin, David Richie, Tat-Sang S. Choy, Ming Jiang, Sameep Mehta, Matthew Coatney, Stephen A. Barr, and Kaden Hazzard	273	(18)
16 Methods for Mining Protein Contact Maps
Mohammed J. Zaki, Jingjing Hu, and Chris Bystroff	291	(24)
17 Mining Scientific Data Sets using Graphs
Michihiro Kuramochi, Mukund Deshpande, and George Karypis	315	(20)
18 Challenges in Environmental Data Warehousing and Mining
Nabil R. Adam, Vijayalakshmi Atluri, Dihua Guo, and Songmei Yu	335	(22)
19 Trends in Spatial Data Mining
Shashi Shekhar, Pusheng Zhang, Yan Huang, and Ranga Raju Vatsavai	357	(24)
20 Challenges in Scientific Data Mining: Heterogeneous, Biased, and Large Samples
Zoran Obradovic and Slobodan Vucetic	381	(24)
Web, Semantics, and Data Mining
21 Web Mining - Concepts, Applications, and Research Directions
Jaideep Srivastava, Prasanna Desikan, and Vipin Kumar	405	(20)
22 Advancements in Text Mining Algorithms and Software
Svetlana Y. Mironova, Michael W Berry, Scott Atchley, and Micah Beck	425	(12)
23 On Data Mining, Semantics, and Intrusion Detection: What to Dig for and Where to Find It
Anupam Joshi and Jeffrey L. Undercoffer	437	(24)
24 Usage Mining for and on the Semantic Web
Bettina Berendt, Gerd Stumme, and Andreas Hotho	461	(20)
Bibliography	481	(52)
Index	533