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.
Data Mining in e-Science and Engineering
Research Challenges for Data Mining in Science and Engineering
Jiawei Han and Jing Gao
Detecting Ecosystem Disturbances and Land Cover Change Using Data Mining
Shyam Boriah, Vipin Kumar, Michael Steinbach, Pang-Ning Tan, Christopher Potter, and Steven Klooster
Efficient Data-Mining Methods Enabling Genome-Wide Computing
Wei Wang, Leonard McMillan, David Threadgill, and Fernando Pardo-Manuel de Villena
Mining Frequent Approximate Sequential Patterns
Feida Zhu, Xifeng Yan, Jiawei Han, and Philip S. Yu
Scientific Data Mining in Astronomy
Kirk D. Borne
Ubiquitous, Distributed, and High Performance Data Mining
Thoughts on Human Emotions, Breakthroughs in Communication, and the Next Generation of Data Mining
Hillol Kargupta
Research Challenges in Ubiquitous Knowledge Discovery
Michael May, Bettina Berendt, Antoine Cornuéjols, João Gama, Fosca Giannotti, Andreas Hotho, Donato Malerba, Ernestina Menesalvas, Katharina Morik, Rasmus Pedersen, Lorenza Saitta, Yücel Saygin, Assaf Schuster, and Koen Vanhoof
High Performance Distributed Data Mining
Alok Choudhary
User-Centered Biological Information Location by Combining User Profiles and Domain Knowledge
Jeffrey E. Stone, Xindong Wu, and Marc Greenblatt
Issues and Challenges in Learning from Data Streams
João Gama
Service-Oriented Architectures for Distributed and Mobile Knowledge Discovery
Domenico Talia and Paolo Trunfio
Discovering Emergent Behavior from Network Packet Data: Lessons from the Angle Project
Robert L. Grossman, Michael Sabala, Yunhong Gu, Anushka Anand, Matt Handley, Rajmonda Sulo, and Lee Wilkinson
Architecture Conscious Data Mining: Current Progress and Future Outlook
Srinivasan Parthasarathy, Shirish Tatikonda, Gregory Buehrer, and Amol Ghoting
The Web, Semantics, and Text Data Mining
Web 2.0 Mining: Analyzing Social Media
Anupam Joshi, Tim Finin, Akshay Java, Anubhav Kale, and Pranam Kolari
Searching for "Familiar Strangers" on Blogosphere
Nitin Agarwal, Huan Liu, John Salerno, and Philip S. Yu
Toward Semantics-Enabled Infrastructure for Knowledge Acquisition from Distributed Data
Vasant Honavar and Doina Caragea
Nonnegative Matrix Factorization for Document Classification
Amy N. Langville and Michael W. Berry
Data Mining in Security, Surveillance, and Privacy Protection
Is Privacy Still an Issue for Data Mining?
Chris Clifton, Wei Jiang, Mummoorthy Murugesan, and M. Ercan Nergiz
Analysis of Social Networks and Group Dynamics from Electronic Communication
Nishith Pathak, Sandeep Mane, Jaideep Srivastava, Noshir Contractor, Scott Poole, and Dmitri Williams
Challenges for Dynamic Heterogeneous Networks in Observational Sciences
Lisa Singh
Privacy-Preserving Data Analysis on Graphs and Social Networks
Kun Liu, Kamalika Das, Tyrone Grandison, and Hillol Kargupta
Medicine, Social Science, Finance, and Spatial Data Mining
Risk Mining as New Trends in Hospital Management
Shusaku Tsumoto and Shojir Hirano
Challenges for Information Discovery on Electronic Medical Records
Vagelis Hristidis, Fernando Farfán, Redmond P. Burke, Anthony F. Rossi, and Jeffrey A. White
Market-Based Profile Infrastructure: Giving Back to the User
Olfa Nasraoui and Maha Soliman
Challenges in Mining Financial Data
James E. Gentle
Spatial and Spatiotemporal Data Mining: Recent Advances
Shashi Shekhar, Ranga Raju Vatsavai, and Mete Celik
Index
Overview
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,...