Data Mining: Concepts, Methodologies, Tools, and Applications

✍ Scribed by Information Resources Management Association

• Publisher: IGI Global
• Year: 2013
• Tongue: English
• Leaves: 638
• Category: Library

✦ Synopsis

Data mining continues to be an emerging interdisciplinary field that offers the ability to extract information from an existing data set and translate that knowledge for end-users into an understandable way.

Data Mining: Concepts, Methodologies, Tools, and Applications is a comprehensive collection of research on the latest advancements and developments of data mining and how it fits into the current technological world.

✦ Table of Contents

Front Cover
List of Contributors
Table of Contents
Preface
Section 1 Fundamental Concepts and
Theories
Chapter 1 A Study of XML Models
for Data Mining:
Representations, Methods, and Issues
Chapter 2 Finding Persistent Strong Rules:
Using Classification to Improve
Association Mining
Chapter 3 Data Discovery Approaches
for Vague Spatial Data
Chapter 4 Active Learning and Mapping:
A Survey and Conception of a New
Stochastic Methodology for High
Throughput Materials Discovery
Chapter 5 An Optimal Categorization
of Feature Selection Methods
for Knowledge Discovery
Chapter 6 Parallel Computing for
Mining Association Rules in
Distributed P2P Networks
Chapter 7 Learning Different Concept
Hierarchies and the
Relations between them
from Classified Data
Chapter 8 Online Clustering and
Outlier Detection
Chapter 9 Data Mining Techniques
for Outlier Detection
Chapter 10 An Extraction, Transformation,
and Loading Tool Applied to
a Fuzzy Data Mining System
Chapter 11 Analysis and Integration
of Biological Data:
A Data Mining Approach
using Neural Networks
Chapter 12 A Neuro-Fuzzy Partner
Selection System for
Business Social Networks
Chapter 13 A Review of Kernel Methods
Based Approaches to
Classification and Clustering
of Sequential Patterns, Part I:
Sequences of Continuous Feature Vectors
Chapter 14 Remarks on a Fuzzy Approach
to Flexible Database Querying,
Its Extension and Relation to
Data Mining and Summarization
Chapter 15 Measuring Human
Intelligence by Applying Soft
Computing Techniques:
A Genetic Fuzzy Approach
Section 2 Development and Design
Methodologies
Chapter 16 Web Mining and Social
Network Analysis
Chapter 17 Long-Term Evolution (LTE):
Broadband-Enabled Next Generation
of Wireless Mobile Cellular Network
Chapter 18 Soft Computing and
its Applications
Chapter 19 A Particle Filtering Based
Approach for Gear Prognostics
Chapter 20 Science and Water
Policy Interface:
An Integrated Methodological
Framework for Developing Decision
Support Systems (DSSs)
Chapter 21 On the MDBSCAN Algorithm in
a Spatial Data Mining Context
Chapter 22 Intelligent Data Processing
Based on Multi-Dimensional
Numbered Memory Structures
Chapter 23 Framework of Knowledge
and Intelligence Base:
From Intelligence to Service
Chapter 24 Using Association Rules
for Query Reformulation
Chapter 25 A Framework on Data
Mining on Uncertain Data
with Related Research
Issues in Service Industry
Chapter 26 A Subspace-Based Analysis
Method for Anomaly
Detection in Large and
High-Dimensional Network
Connection Data Streams
Chapter 27 Suggested Model for Business
Intelligence in Higher Education
Chapter 28 A Highly Scalable and Adaptable
Co-Learning Framework on
Multimodal Data Mining in
a Multimedia Database
Index