Kargupta / Han / Yu Next Generation of Data Mining

1. Auflage 2008
ISBN: 978-1-4200-8587-7
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 601 Seiten

Reihe: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

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.

Autoren/Hrsg.

Kargupta, Hillol

Han, Jiawei

Yu, Philip S.

Motwani, Rajeev

Kumar, Vipin

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken

Inhaltsverzeichnis

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