Advanced Data Mining and Applications : 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part I / 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 ; 6440.

Lecture Notes in Artificial Intelligence ; 6440

Language:

English

Subjects (All):

Artificial intelligence.

Computer networks.

Application software.

Information storage and retrieval.

Database management.

Data mining.

Artificial Intelligence.

Computer Communication Networks.

Information Systems Applications (incl. Internet).

Information Storage and Retrieval.

Database Management.

Data Mining and Knowledge Discovery.

Local Subjects:

Artificial Intelligence.

Computer Communication Networks.

Information Systems Applications (incl. Internet).

Information Storage and Retrieval.

Database Management.

Data Mining and Knowledge Discovery.

Physical Description:

1 online resource (XIII, 628 pages) : 221 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:

Data Mining Foundations

Cost Sensitive Classification in Data Mining

Web Users Access Paths Clustering Based on Possibilistic and Fuzzy Sets Theory

Discriminative Markov Logic Network Structure Learning Based on Propositionalization and ? 2-Test

EWGen: Automatic Generation of Item Weights for Weighted Association Rule Mining

Best Clustering Configuration Metrics: Towards Multiagent Based Clustering

On Probabilistic Models for Uncertain Sequential Pattern Mining

Cube Based Summaries of Large Association Rule Sets

A Perceptron-Like Linear Supervised Algorithm for Text Classification

Research on Time Series Forecasting Model Based on Moore Automata

A Clustering Algorithm FCM-ACO for Supplier Base Management

Nearest Neighbour Distance Matrix Classification

Classification Inductive Rule Learning with Negated Features

Fast Retrieval of Time Series Using a Multi-resolution Filter with Multiple Reduced Spaces

DHPTID-HYBRID Algorithm: A Hybrid Algorithm for Association Rule Mining

An Improved Rough Clustering Using Discernibility Based Initial Seed Computation

Fixing the Threshold for Effective Detection of Near Duplicate Web Documents in Web Crawling

Topic-Constrained Hierarchical Clustering for Document Datasets

Discretization of Time Series Dataset Using Relative Frequency and K-Nearest Neighbor Approach

MSDBSCAN: Multi-density Scale-Independent Clustering Algorithm Based on DBSCAN

An Efficient Algorithm for Mining Erasable Itemsets

Discord Region Based Analysis to Improve Data Utility of Privately Published Time Series

Deep Web Sources Classifier Based on DSOM-EACO Clustering Model

Kernel Based K-Medoids for Clustering Data with Uncertainty

Frequent Pattern Mining Using Modified CP-Tree for Knowledge Discovery

Spatial Neighborhood Clustering Based on Data Field

Surrounding Influenced K-Nearest Neighbors: A New Distance Based Classifier

A Centroid k-Nearest Neighbor Method

Mining Spatial Association Rules with Multi-relational Approach

An Unsupervised Classification Method of Remote Sensing Images Based on Ant Colony Optimization Algorithm

A Novel Clustering Algorithm Based on Gravity and Cluster Merging

Data Mining in Specific Areas

Evolution Analysis of a Mobile Social Network

Distance Distribution and Average Shortest Path Length Estimation in Real-World Networks

Self-adaptive Change Detection in Streaming Data with Non-stationary Distribution

Anchor Points Seeking of Large Urban Crowd Based on the Mobile Billing Data

Frequent Pattern Trend Analysis in Social Networks

Efficient Privacy-Preserving Data Mining in Malicious Model

Analyze the Wild Birds' Migration Tracks by MPI-Based Parallel Clustering Algorithm

Formal Concept Analysis Based Clustering for Blog Network Visualization

Finding Frequent Subgraphs in Longitudinal Social Network Data Using a Weighted Graph Mining Approach

Weigted-FP-Tree Based XML Query Pattern Mining

Privacy-Preserving Data Mining in Presence of Covert Adversaries

Multiple Level Views on the Adherent Cohesive Subgraphs in Massive Temporal Call Graphs

Combating Link Spam by Noisy Link Analysis

High Dimensional Image Categorization

Efficiently Mining Co-Location Rules on Interval Data

Multiple Attribute Frequent Mining-Based for Dengue Outbreak

A Top-Down Approach for Hierarchical Cluster Exploration by Visualization

Distributed Frequent Items Detection on Uncertain Data

Mining Uncertain Sentences with Multiple Instance Learning

WeightLOFCC: A Heuristic Weight-Setting Strategy of LOF Applied to Outlier Detection in Time Series Data

TGP: Mining Top-K Frequent Closed Graph Pattern without Minimum Support

Research on Similarity Matching for Multiple Granularities Time-Series Data

A Novel Algorithm for Hierarchical Community Structure Detection in Complex Networks

Investigating Sequential Patterns of DNS Usage and Its Applications

Key Issues and Theoretical Framework on Moving Objects Data Mining

An Improved KNN Based Outlier Detection Algorithm for Large Datasets

Some Developments of Determinacy Analysis

A New Computational Framework for Gene Expression Clustering

Forecasting Short-Term Trends of Stock Markets Based on Fuzzy Frequent Pattern Tree

Inspired Rule-Based User Identification.

Other Format:

Printed edition:

ISBN:

978-3-642-17316-5

9783642173165

Access Restriction:

Restricted for use by site license.