Advanced Data Mining and Applications : 9th International Conference, ADMA 2013, Hangzhou, China, December 14-16, 2013, Proceedings, Part II / edited by Hiroshi Motoda, Zhaohui Wu, Longbing Cao, Osmar Zaiane, Min Yao, Wei Wang.

Format:

Book

Contributor:

Motoda, Hiroshi, editor.

Wu, Zhaohui, editor.

Cao, Longbing, 1969- editor.

Zaïane, Osmar, editor.

Yao, Min (Computer scientist), editor.

Wang, Wei (Editor), editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 8347.

Lecture Notes in Artificial Intelligence ; 8347

Language:

English

Subjects (All):

Artificial intelligence.

Data mining.

Information storage and retrieval.

Artificial Intelligence.

Data Mining and Knowledge Discovery.

Information Storage and Retrieval.

Local Subjects:

Artificial Intelligence.

Data Mining and Knowledge Discovery.

Information Storage and Retrieval.

Physical Description:

1 online resource (XXII, 538 pages) : 163 illustrations.

Edition:

First edition 2013.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.

System Details:

text file PDF

Summary:

The two-volume set LNAI 8346 and 8347 constitutes the thoroughly refereed proceedings of the 9th International Conference on Advanced Data Mining and Applications, ADMA 2013, held in Hangzhou, China, in December 2013. The 32 regular papers and 64 short papers presented in these two volumes were carefully reviewed and selected from 222 submissions. The papers included in these two volumes cover the following topics: opinion mining, behavior mining, data stream mining, sequential data mining, web mining, image mining, text mining, social network mining, classification, clustering, association rule mining, pattern mining, regression, predication, feature extraction, identification, privacy preservation, applications, and machine learning.

Contents:

Clustering

Semi-Supervised Clustering Ensemble Evolved by Genetic Algorithm for Web Video Categorization

A Scalable Approach for General Correlation Clustering

A fast spectral clustering method based on growing vector quantization for large data sets

A Novel Deterministic Sampling Technique to Speedup Clustering Algorithms

Software Clustering using Automated Feature Subset Selection

The Use of Transfer Algorithm for Clustering Categorical Data

eDARA: Ensembles DARA

Efficient mining maximal variant and low usage rate biclusters without candidate maintenance in real function-resource matrix: the DeCluster algorithm

Association Rule Mining

MEIT: Memory Efficient Itemset Tree for Targeted Association Rule Mining

Pattern Mining

Mining Frequent Patterns in Print Logs with Semantically Alternative Labels

Minimising K-Dominating Set in Arbitrary Network Graphs

Regression

Logistic Regression Bias Correction for Large Scale Data with Rare Events

An Automatical Moderating System for FML using Hashing Regression

Batch-to-Batch Iterative Learning Control Based on Kernel Independent Component Regression Model

Prediction

Deep Architecture for Traffic Flow Prediction

Compact Prediction Tree: A Lossless Model for Accurate Sequence Prediction

Generalization of Malaria Incidence Prediction Models by Correcting Sample Selection Bias

Protein Interaction Hot Spots Prediction using LS-SVM within the Bayesian Interpretation

Predicting the survival status of cancer patients with Traditional Chinese Medicine Symptom Variation using Logistic Regression Model

Feature Extraction

Exploiting Multiple Features for Learning to Rank in Expert Finding

Convolution Neural Network for Relation Extraction

Extracting Fuzzy Rules from Hierarchical Heterogeneous Neural Networks for Cardiovascular Diseases Diagnosis

kDMI: A Novel Method for Missing Values Imputation Using Two Levels of Horizontal Partitioning in a Data set

Identification

Traffic Session Identification based on Statistical Language Model

Role Identification Based on the Information Dependency Complexity

Detecting Professional Spam Reviewers

Chinese Comparative Sentence Identification Based on the Combination of Rules and Statistics

Privacy Preservation

Utility Enhancement for Privacy Preserving Health Data Publishing

Optimizing Placement of Mix Zones to Preserve Users' Privacy for Continuous Query Services in Road Networks

Applications

Comparison of Cutoff Strategies for Geometrical Features in Machine Learning-based Scoring Functions

Bichromatic Reverse Ranking Query in Two Dimensions

Passive Aggressive Algorithm for Online Portfolio Selection with Piecewise Loss Function

Mining Item Popularity for Recommender Systems

Exploring an Ichthyoplankton Database from a Freshwater Reservoir in Legal Amazon

A Pre-initialization Stage of Population-based Bio-inspired Metaheuristics for Handling Expensive Optimization Problems

A Hybrid-sorting Semantic Matching Method

Improving Few Occurrence Feature Performance in Distant Supervision for Relation Extraction

Cluster Labeling Extraction and Ranking Feature Selection for High Quality XML Pseudo Relevance Feedback Fragments Set

Informed Weighted Random Projection for Dimension Reduction

Protocol Specification Inference Based on Keywords Identification

An Adaptive Collaborative Filtering Algorithm Based on Multiple Features

Machine Learning

Ensemble of Unsupervised and Supervised Models with Different Label Spaces

Cost-sensitive Extreme Learning Machine

Multi-objective Optimization for Overlapping Community Detection

Endmember Extraction by Exemplar Finder

EEG-Based User Authentication in Multilevel Security Systems

A new fuzzy extreme learning machine for regression problems with outliers or noises.

Other Format:

Printed edition:

ISBN:

978-3-642-53917-6

9783642539176

Access Restriction:

Restricted for use by site license.