Advanced Data Mining and Applications : Third International Conference, ADMA 2007, Harbin, China, August 6-8, 2007 Proceedings / edited by Reda Alhajj, Hong Gao, Xue Li, Jianzhong Li, Osmar R. Zaiane.

Format:

Book

Contributor:

Alhajj, Reda, editor.

Gao, Hong, editor.

Li, Xue, editor.

Li, Jianzhong, editor.

Zaïane, Osmar, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 4632.

Lecture Notes in Artificial Intelligence ; 4632

Language:

English

Subjects (All):

Database management.

Artificial intelligence.

Data mining.

Software engineering.

Application software.

Database Management.

Artificial Intelligence.

Data Mining and Knowledge Discovery.

Software Engineering.

Computer Appl. in Administrative Data Processing.

Information Systems Applications (incl. Internet).

Local Subjects:

Database Management.

Artificial Intelligence.

Data Mining and Knowledge Discovery.

Software Engineering.

Computer Appl. in Administrative Data Processing.

Information Systems Applications (incl. Internet).

Physical Description:

1 online resource (XVI, 636 pages) : 201 illustrations.

Edition:

First edition 2007.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.

System Details:

text file PDF

Summary:

The Third International Conference on Advanced Data Mining and Applications (ADMA) organized in Harbin, China continued the tradition already established by the first two ADMA conferences in Wuhan in 2005 and Xi'an in 2006. One major goal of ADMA is to create a respectable identity in the data mining research com- nity. This feat has been partially achieved in a very short time despite the young age of the conference, thanks to the rigorous review process insisted upon, the outstanding list of internationally renowned keynote speakers and the excellent program each year. The impact of a conference is measured by the citations the conference papers receive. Some have used this measure to rank conferences. For example, the independent source cs-conference-ranking.org ranks ADMA (0.65) higher than PAKDD (0.64) and PKDD (0.62) as of June 2007, which are well established conferences in data mining. While the ranking itself is questionable because the exact procedure is not disclosed, it is nevertheless an encouraging indicator of recognition for a very young conference such as ADMA.

Contents:

Invited Talk

Mining Ambiguous Data with Multi-instance Multi-label Representation

Regular Papers

DELAY: A Lazy Approach for Mining Frequent Patterns over High Speed Data Streams

Exploring Content and Linkage Structures for Searching Relevant Web Pages

CLBCRA-Approach for Combination of Content-Based and Link-Based Ranking in Web Search

Rough Sets in Hybrid Soft Computing Systems

Discovering Novel Multistage Attack Strategies

Privacy Preserving DBSCAN Algorithm for Clustering

A New Multi-level Algorithm Based on Particle Swarm Optimization for Bisecting Graph

A Supervised Subspace Learning Algorithm: Supervised Neighborhood Preserving Embedding

A k-Anonymity Clustering Method for Effective Data Privacy Preservation

LSSVM with Fuzzy Pre-processing Model Based Aero Engine Data Mining Technology

A Coding Hierarchy Computing Based Clustering Algorithm

Mining Both Positive and Negative Association Rules from Frequent and Infrequent Itemsets

Survey of Improving Naive Bayes for Classification

Privacy Preserving BIRCH Algorithm for Clustering over Arbitrarily Partitioned Databases

Unsupervised Outlier Detection in Sensor Networks Using Aggregation Tree

Separator: Sifting Hierarchical Heavy Hitters Accurately from Data Streams

Spatial Fuzzy Clustering Using Varying Coefficients

Collaborative Target Classification for Image Recognition in Wireless Sensor Networks

Dimensionality Reduction for Mass Spectrometry Data

The Study of Dynamic Aggregation of Relational Attributes on Relational Data Mining

Learning Optimal Kernel from Distance Metric in Twin Kernel Embedding for Dimensionality Reduction and Visualization of Fingerprints

Efficiently Monitoring Nearest Neighbors to a Moving Object

A Novel Text Classification Approach Based on Enhanced Association Rule

Applications of the Moving Average of n th -Order Difference Algorithm for Time Series Prediction

Inference of Gene Regulatory Network by Bayesian Network Using Metropolis-Hastings Algorithm

A Consensus Recommender for Web Users

Constructing Classification Rules Based on SVR and Its Derivative Characteristics

Hiding Sensitive Associative Classification Rule by Data Reduction

AOG-ags Algorithms and Applications

A Framework for Titled Document Categorization with Modified Multinomial Naivebayes Classifier

Prediction of Protein Subcellular Locations by Combining K-Local Hyperplane Distance Nearest Neighbor

A Similarity Retrieval Method in Brain Image Sequence Database

A Criterion for Learning the Data-Dependent Kernel for Classification

Topic Extraction with AGAPE

Clustering Massive Text Data Streams by Semantic Smoothing Model

GraSeq: A Novel Approximate Mining Approach of Sequential Patterns over Data Stream

A Novel Greedy Bayesian Network Structure Learning Algorithm for Limited Data

Optimum Neural Network Construction Via Linear Programming Minimum Sphere Set Covering

How Investigative Data Mining Can Help Intelligence Agencies to Discover Dependence of Nodes in Terrorist Networks

Prediction of Enzyme Class by Using Reactive Motifs Generated from Binding and Catalytic Sites

Bayesian Network Structure Ensemble Learning

Fusion of Palmprint and Iris for Personal Authentication

Enhanced Graph Based Genealogical Record Linkage

A Fuzzy Comprehensive Clustering Method

Short Papers

CACS: A Novel Classification Algorithm Based on Concept Similarity

Data Mining in Tourism Demand Analysis: A Retrospective Analysis

Chinese Patent Mining Based on Sememe Statistics and Key-Phrase Extraction

Classification of Business Travelers Using SVMs Combined with Kernel Principal Component Analysis

Research on the Traffic Matrix Based on Sampling Model

A Causal Analysis for the Expenditure Data of Business Travelers

A Visual and Interactive Data Exploration Method for Large Data Sets and Clustering

Explorative Data Mining on Stock Data - Experimental Results and Findings

Graph Structural Mining in Terrorist Networks

Characterizing Pseudobase and Predicting RNA Secondary Structure with Simple H-Type Pseudoknots Based on Dynamic Programming

Locally Discriminant Projection with Kernels for Feature Extraction

A GA-Based Feature Subset Selection and Parameter Optimization of Support Vector Machine for Content - Based Image Retrieval

E-Stream: Evolution-Based Technique for Stream Clustering

H-BayesClust: A New Hierarchical Clustering Based on Bayesian Networks

An Improved AdaBoost Algorithm Based on Adaptive Weight Adjusting.

Other Format:

Printed edition:

ISBN:

978-3-540-73871-8

9783540738718

Access Restriction:

Restricted for use by site license.