Next generation of data mining

Drawn from the US National Science Foundation's Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation (NGDM 07), Next Generation of Data Mining explores emerging technologies and applications in data mining as well as potential challenges faced by the field.

Gathering perspectives from top experts across different disciplines, the book debates upcoming challenges and outlines computational methods. The contributors look at how ecology, astronomy, social science, medicine, finance, and more can benefit from the next generation of data mining techniques. They examine the algorithms, middleware, infrastructure, and privacy policies associated with ubiquitous, distributed, and high performance data mining. They also discuss the impact of new technologies, such as the semantic web, on data mining and provide recommendations for privacy-preserving mechanisms.

The dramatic increase in the availability of massive, complex data from various sources is creating computing, storage, communication, and human-computer interaction challenges for data mining. Providing a framework to better understand these fundamental issues, this volume surveys promising approaches to data mining problems that span an array of disciplines.

• Preface p. xi
• Acknowledgments p. xiii
• Editors p. xv
• Contributors p. xix
• Part I Data Mining in e-Science and Engineering p. 1
• 1 Research Challenges for Data Mining in Science and Engineering p. 3 Jiawei Han and Jing Gao
• 2 Detecting Ecosystem Disturbances and Land Cover Change Using Data Mining p. 29 Shyam Boriah and Vipin Kumar and Michael Steinbach and Pang-Ning Tan and Christopher Potter and Steven Klooster
• 3 Efficient Data-Mining Methods Enabling Genome-Wide Computing p. 49 Wei Wang and Leonard McMillan and David Threadgill and Fernando Pardo-Manuel de Villena
• 4 Mining Frequent Approximate Sequential Patterns p. 69 Feida Zhu and Xifeng Yan and Jiawei Han and Philip S. Yu
• 5 Scientific Data Mining in Astronomy p. 91 Kirk D. Borne
• Part II Ubiquitous, Distributed, and High Performance Data Mining p. 115
• 6 Thoughts on Human Emotions, Breakthroughs in Communication, and the Next Generation of Data Mining p. 117 Hillol Kargupta
• 7 Research Challenges in Ubiquitous Knowledge Discovery p. 131 Michael May and Bettina Berendt and Antoine Cornuejols and Joao Gama and Fosca Giannotti and Andreas Hotho and Donato Malerba and Ernestina Menesalvas and Katharina Morik and Rasmus Pedersen and Lorenza Saitta and Yucel Saygin and Assaf Schuster and Koen Vanhoof
• 8 High-Performance Distributed Data Mining p. 151 Sanchit Misra and Ramanathan Narayanan and Daniel Honbo and Alok Choudhary
• 9 User-Centered Biological Information Location by Combining User Profiles and Domain Knowledge p. 171 Jeffrey E. Stone and Xindong Wu and Marc Greenblatt
• 10 Issues and Challenges in Learning from Data Streams p. 209 Joao Gama
• 11 Service-Oriented Architectures for Distributed and Mobile Knowledge Discovery p. 223 Domenico Talia and Paolo Trunfio
• 12 Discovering Emergent Behavior from Network Packet Data: Lessons from the Angle Project p. 243 Robert L. Grossman and Michael Sabala and Yunhong Gu and Anushka Anand and Matt Handley and Rajmonda Sulo and Lee Wilkinson
• 13 Architecture Conscious Data Mining: Current Progress and Future Outlook p. 261 Srinivasan Parthasarathy and Shirish Tatikonda and Gregory Buehrer and Amol Ghoting
• Part III The Web, Semantics, and Text Data Mining p. 281
• 14 Web 2.0 Mining: Analyzing Social Media p. 283 Anupam Joshi and Tim Finin and Akshay Java and Anubhav Kale and Pranam Kolari
• 15 Searching for "Familiar Strangers" on Blogosphere p. 295 Nitin Agarwal and Huan Liu and John Salerno and Philip S. Yu
• 16 Toward Semantics-Enabled Infrastructure for Knowledge Acquisition from Distributed Data p. 317 Vasant Honavar and Doina Caragea
• 17 Nonnegative Matrix Factorization for Document Classification p. 339 Amy N. Langville and Michael W. Berry
• Part IV Data Mining in Security, Surveillance, and Privacy Protection p. 357
• 18 Is Privacy Still an Issue for Data Mining? p. 359 Chris Clifton and Wei Jiang and Mummoorthy Murugesan and M. Ercan Nergiz
• 19 Analysis of Social Networks and Group Dynamics from Electronic Communication p. 377 Nishith Pathak and Sandeep Mane and Jaideep Srivastava and Noshir Contractor and Scott Poole and Dmitri Williams
• 20 Challenges for Dynamic Heterogeneous Networks in Observational Sciences p. 399 Lisa Singh
• 21 Privacy-Preserving Data Analysis on Graphs and Social Networks p. 419 Kun Liu and Kamalika Das and Tyrone Grandison and Hillol Kargupta
• Part V Medicine, Social Science, Finance, and Spatial Data Mining p. 439
• 22 Risk Mining as New Trends in Hospital Management p. 441 Shusaku Tsumoto and Shoji Hirano
• 23 Challenges for Information Discovery on Electronic Medical Records p. 471 Vagelis Hristidis and Fernando Farfan and Redmond P. Burke and Anthony F. Rossi and Jeffrey A. White
• 24 Market-Based Profile Infrastructure: Giving Back to the User p. 505 Olfa Nasraoui and Maha Soliman
• 25 Challenges in Mining Financial Data p. 527 James E. Gentle
• 26 Spatial and Spatiotemporal Data Mining: Recent Advances p. 549 Shashi Shekhar and Ranga Raju Vatsavai and Mete Celik
• Index p. 585