Advanced Data Mining and Applications : 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part II / edited by Longbing Cao, Yong Feng, Jiang Zhong.

Format:

Book

Contributor:

Cao, Longbing, 1969- editor.

Feng, Yong, editor.

Zhong, Jiang, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 6441.

Lecture Notes in Artificial Intelligence ; 6441

Language:

English

Subjects (All):

Artificial intelligence.

Application software.

Information storage and retrieval.

Database management.

Data mining.

Computer networks.

Artificial Intelligence.

Information Systems Applications (incl. Internet).

Information Storage and Retrieval.

Database Management.

Data Mining and Knowledge Discovery.

Computer Communication Networks.

Local Subjects:

Artificial Intelligence.

Information Systems Applications (incl. Internet).

Information Storage and Retrieval.

Database Management.

Data Mining and Knowledge Discovery.

Computer Communication Networks.

Physical Description:

1 online resource (XIII, 576 pages) : 198 illustrations.

Edition:

First edition 2010.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.

System Details:

text file PDF

Summary:

With the ever-growing power of generating, transmitting, and collecting huge amounts of data, information overloadis nowan imminent problemto mankind. The overwhelming demand for information processing is not just about a better understanding of data, but also a better usage of data in a timely fashion. Data mining, or knowledge discovery from databases, is proposed to gain insight into aspects ofdata and to help peoplemakeinformed,sensible,and better decisions. At present, growing attention has been paid to the study, development, and application of data mining. As a result there is an urgent need for sophisticated techniques and toolsthat can handle new ?elds of data mining, e. g. , spatialdata mining, biomedical data mining, and mining on high-speed and time-variant data streams. The knowledge of data mining should also be expanded to new applications. The 6th International Conference on Advanced Data Mining and Appli- tions(ADMA2010)aimedtobringtogethertheexpertsondataminingthrou- out the world. It provided a leading international forum for the dissemination of original research results in advanced data mining techniques, applications, al- rithms, software and systems, and di?erent applied disciplines. The conference attracted 361 online submissions from 34 di?erent countries and areas. All full papers were peer reviewed by at least three members of the Program Comm- tee composed of international experts in data mining ?elds. A total number of 118 papers were accepted for the conference. Amongst them, 63 papers were selected as regular papers and 55 papers were selected as short papers.

Contents:

III Data Mining Methodologies and Processes

Incremental Learning by Heterogeneous Bagging Ensemble

CPLDP: An Efficient Large Dataset Processing System Built on Cloud Platform

A General Multi-relational Classification Approach Using Feature Generation and Selection

A Unified Approach to the Extraction of Rules from Artificial Neural Networks and Support Vector Machines

A Clustering-Based Data Reduction for Very Large Spatio-Temporal Datasets

Change a Sequence into a Fuzzy Number

Multiple Kernel Learning Improved by MMD

A Refinement Approach to Handling Model Misfit in Semi-supervised Learning

Soft Set Approach for Selecting Decision Attribute in Data Clustering

Comparison of BEKK GARCH and DCC GARCH Models: An Empirical Study

Adapt the mRMR Criterion for Unsupervised Feature Selection

Evaluating the Distance between Two Uncertain Categorical Objects

Construction Cosine Radial Basic Function Neural Networks Based on Artificial Immune Networks

Spatial Filter Selection with LASSO for EEG Classification

Boolean Algebra and Compression Technique for Association Rule Mining

Cluster Based Symbolic Representation and Feature Selection for Text Classification

SimRate: Improve Collaborative Recommendation Based on Rating Graph for Sparsity

Logistic Regression for Transductive Transfer Learning from Multiple Sources

Double Table Switch: An Efficient Partitioning Algorithm for Bottom-Up Computation of Data Cubes

IV Data Mining Applications and Systems

Tag Recommendation Based on Bayesian Principle

Comparison of Different Methods to Fuse Theos Images

Using Genetic K-Means Algorithm for PCA Regression Data in Customer Churn Prediction

Time-Constrained Test Selection for Regression Testing

Chinese New Word Detection from Query Logs

Exploiting Concept Clumping for Efficient Incremental E-Mail Categorization

Topic-Based User Segmentation for Online Advertising with Latent Dirichlet Allocation

Applying Multi-objective Evolutionary Algorithms to QoS-Aware Web Service Composition

Real-Time Hand Detection and Tracking Using LBP Features

Modeling DNS Activities Based on Probabilistic Latent Semantic Analysis

A New Statistical Approach to DNS Traffic Anomaly Detection

Managing Power Conservation in Wireless Networks

Using PCA to Predict Customer Churn in Telecommunication Dataset

Hierarchical Classification with Dynamic-Threshold SVM Ensemble for Gene Function Prediction

Personalized Tag Recommendation Based on User Preference and Content

Predicting Defect Priority Based on Neural Networks

Personalized Context-Aware QoS Prediction for Web Services Based on Collaborative Filtering

Hybrid Semantic Analysis System - ATIS Data Evaluation

Click Prediction for Product Search on C2C Web Sites

Finding Potential Research Collaborators in Four Degrees of Separation

Predicting Product Duration for Adaptive Advertisement

An Algorithm for Available Bandwidth Estimation of IPv6 Network

A Structure-Based XML Storage Method in YAFFS File System

A Multi-dimensional Trustworthy Behavior Monitoring Method Based on Discriminant Locality Preserving Projections

NN-SA Based Dynamic Failure Detector for Services Composition in Distributed Environment

Two-Fold Spatiotemporal Regression Modeling in Wireless Sensor Networks

Generating Tags for Service Reviews

Developing Treatment Plan Support in Outpatient Health Care Delivery with Decision Trees Technique

Factor Analysis of E-business in Skill-Based Strategic Collaboration

Increasing the Meaningful Use of Electronic Medical Records: A Localized Health Level 7 Clinical Document Architecture System

Corpus-Based Analysis of the Co-occurrence of Chinese Antonym Pairs

Application of Decision-Tree Based on Prediction Model for Project Management

Management Policies Analysis for Multi-core Shared Caches

Multi-core Architecture Cache Performance Analysis and Optimization Based on Distributed Method

The Research on the User Experience of E-Commercial Website Based on User Subdivision

An Ontology-Based Framework Model for Trustworthy Software Evolution

Multi-level Log-Based Relevance Feedback Scheme for Image Retrieval

A Distributed Node Clustering Mechanism in P2P Networks

Exploratory Factor Analysis Approach for Understanding Consumer Behavior toward Using Chongqing City Card.

Other Format:

Printed edition:

ISBN:

978-3-642-17313-4

9783642173134

Access Restriction:

Restricted for use by site license.