Next Generation of Data Mining | Hillol Kargupta, Jiawei Han, Philip S

Book

Next Generation of Data Mining

ABSTRACT

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 di

TABLE OF CONTENTS

part |2 pages

Part I Data Mining in e-Science and Engineering

chapter 1|26 pages

Research Challenges for Data Mining in Science and Engineering

chapter 2|20 pages

Detecting Ecosystem Disturbances and Land Cover Change Using Data Mining

chapter 3|20 pages

Efficient Data-Mining Methods Enabling Genome-Wide Computing

chapter 4|22 pages

Mining Frequent Approximate Sequential Patterns

chapter 5|24 pages

Scientific Data Mining in Astronomy

part |2 pages

Part II: Ubiquitous, Distributed, and High Performance Data Mining

chapter 6|14 pages

Thoughts on Human Emotions, Breakthroughs in Communication, and the Next Generation of Data Mining

chapter 7|20 pages

Research Challenges in Ubiquitous Knowledge Discovery

chapter 8|20 pages

High-Performance Distributed Data Mining

chapter 9|38 pages

User-Centered Biological Information Location by Combining User Profiles and Domain Knowledge

chapter 10|14 pages

Issues and Challenges in Learning from Data Streams

chapter 11|20 pages

Service-Oriented Architectures for Distributed and Mobile Knowledge Discovery

chapter 12|18 pages

Discovering Emergent Behavior from Network Packet Data: Lessons from the Angle Project

chapter 13|20 pages

Architecture Conscious Data Mining: Current Progress and Future Outlook

part |2 pages

Part III The Web, Semantics, and Text Data Mining

chapter 14|12 pages

Web 2.0 Mining: Analyzing Social Media

chapter 15|22 pages

Searching for “Familiar Strangers” on Blogosphere

chapter 16|22 pages

Toward Semantics-Enabled Infrastructure for Knowledge Acquisition from Distributed Data

chapter 17|18 pages

Nonnegative Matrix Factorization for Document Classification

part |2 pages

Part IV: Data mining in Security, Surveillance, and Privacy Protection

chapter 18|18 pages

Is Privacy Still an Issue for Data Mining?

chapter 19|22 pages

Analysis of Social Networks and Group Dynamics from Electronic Communication

chapter 20|20 pages

Challenges for Dynamic Heterogeneous Networks in Observational Sciences

chapter 21|20 pages

Privacy-Preserving Data Analysis on Graphs and Social Networks

part |2 pages

Part V: Medicine, Social Science, Finance, and Spatial Data Mining

chapter 22|30 pages

Risk Mining as New Trends in Hospital Management

chapter 23|34 pages

Challenges for Information Discovery on Electronic Medical Records

chapter 24|22 pages

Market-Based Profile Infrastructure: Giving Back to the User

chapter 25|22 pages

Challenges in Mining Financial Data

chapter 26|36 pages

Spatial and Spatiotemporal Data Mining: Recent Advances