Advances in Knowledge Discovery and Data Mining, Part II : 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010, Proceedings / edited by Mohammed J. Zaki, Jeffrey Xu Yu, B. Ravindran, Vikram Pudi.

Format:

Book

Contributor:

Zaki, Mohammed J., 1971- editor.

Yu, Jeffrey Xu, editor.

Ravindran, B., editor.

Pudi, Vikram, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 6119.

Lecture Notes in Artificial Intelligence ; 6119

Language:

English

Subjects (All):

Data mining.

Artificial intelligence.

Application software.

Information storage and retrieval.

Database management.

Algorithms.

Data Mining and Knowledge Discovery.

Artificial Intelligence.

Information Systems Applications (incl. Internet).

Information Storage and Retrieval.

Database Management.

Algorithm Analysis and Problem Complexity.

Local Subjects:

Data Mining and Knowledge Discovery.

Artificial Intelligence.

Information Systems Applications (incl. Internet).

Information Storage and Retrieval.

Database Management.

Algorithm Analysis and Problem Complexity.

Physical Description:

1 online resource (520 pages) : 161 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

Contents:

Session 4B. Dimensionality Reduction/Parallelism

Subclass-Oriented Dimension Reduction with Constraint Transformation and Manifold Regularization

Distributed Knowledge Discovery with Non Linear Dimensionality Reduction

DPSP: Distributed Progressive Sequential Pattern Mining on the Cloud

An Approach for Fast Hierarchical Agglomerative Clustering Using Graphics Processors with CUDA

Session 5A. Novel Applications

Ontology-Based Mining of Brainwaves: A Sequence Similarity Technique for Mapping Alternative Features in Event-Related Potentials (ERP) Data

Combining Support Vector Machines and the t-statistic for Gene Selection in DNA Microarray Data Analysis

Satrap: Data and Network Heterogeneity Aware P2P Data-Mining

Player Performance Prediction in Massively Multiplayer Online Role-Playing Games (MMORPGs)

Relevant Gene Selection Using Normalized Cut Clustering with Maximal Compression Similarity Measure

Session 5B. Feature Selection/Visualization

A Novel Prototype Reduction Method for the K-Nearest Neighbor Algorithm with K???1

Generalized Two-Dimensional FLD Method for Feature Extraction: An Application to Face Recognition

Learning Gradients with Gaussian Processes

Analyzing the Role of Dimension Arrangement for Data Visualization in Radviz

Session 6A. Graph Mining

Subgraph Mining on Directed and Weighted Graphs

Finding Itemset-Sharing Patterns in a Large Itemset-Associated Graph

A Framework for SQL-Based Mining of Large Graphs on Relational Databases

Fast Discovery of Reliable k-terminal Subgraphs

GTRACE2: Improving Performance Using Labeled Union Graphs

Session 6B. Clustering II

Orthogonal Nonnegative Matrix Tri-factorization for Semi-supervised Document Co-clustering

Rule Synthesizing from Multiple Related Databases

Fast Orthogonal Nonnegative Matrix Tri-Factorization for Simultaneous Clustering

Hierarchical Web-Page Clustering via In-Page and Cross-Page Link Structures

Mining Numbers in Text Using Suffix Arrays and Clustering Based on Dirichlet Process Mixture Models

Session 7A. Opinion/Sentiment Mining

Opinion-Based Imprecise Query Answering

Blog Opinion Retrieval Based on Topic-Opinion Mixture Model

Feature Subsumption for Sentiment Classification in Multiple Languages

Decentralisation of ScoreFinder: A Framework for Credibility Management on User-Generated Contents

Classification and Pattern Discovery of Mood in Weblogs

Capture of Evidence for Summarization: An Application of Enhanced Subjective Logic

Session 7B. Stream Mining

Fast Perceptron Decision Tree Learning from Evolving Data Streams

Classification and Novel Class Detection in Data Streams with Active Mining

Bulk Loading Hierarchical Mixture Models for Efficient Stream Classification

Summarizing Multidimensional Data Streams: A Hierarchy-Graph-Based Approach

Efficient Trade-Off between Speed Processing and Accuracy in Summarizing Data Streams

Subsequence Matching of Stream Synopses under the Time Warping Distance

Session 8A. Similarity and Kernels

Normalized Kernels as Similarity Indices

Adaptive Matching Based Kernels for Labelled Graphs

A New Framework for Dissimilarity and Similarity Learning

Semantic-Distance Based Clustering for XML Keyword Search

Session 8B. Graph Analysis

oddball: Spotting Anomalies in Weighted Graphs

Robust Outlier Detection Using Commute Time and Eigenspace Embedding

EigenSpokes: Surprising Patterns and Scalable Community Chipping in Large Graphs

BASSET: Scalable Gateway Finder in Large Graphs

Session 8C. Classification II

Ensemble Learning Based on Multi-Task Class Labels

Supervised Learning with Minimal Effort

Generating Diverse Ensembles to Counter the Problem of Class Imbalance

Relationship between Diversity and Correlation in Multi-Classifier Systems

Compact Margin Machine.

Other Format:

Printed edition:

ISBN:

978-3-642-13672-6

9783642136726

Access Restriction:

Restricted for use by site license.