Data Warehousing and Knowledge Discovery : 10th International Conference, DaWak 2008 Turin, Italy, September 1-5, 2008, Proceedings / edited by Il-Yeol Song, Johann Eder, Tho Manh Nguyen.

Format:

Book

Contributor:

Song, Il-Yeol, editor.

Eder, J. (Johann), 1958- editor.

Nguyen, Tho Manh, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 5182.

Information Systems and Applications, incl. Internet/Web, and HCI ; 5182

Language:

English

Subjects (All):

Computer networks.

Data mining.

Computer engineering.

Database management.

Application software.

Artificial intelligence.

Computer Communication Networks.

Data Mining and Knowledge Discovery.

Computer Engineering.

Database Management.

Information Systems Applications (incl. Internet).

Artificial Intelligence.

Local Subjects:

Computer Communication Networks.

Data Mining and Knowledge Discovery.

Computer Engineering.

Database Management.

Information Systems Applications (incl. Internet).

Artificial Intelligence.

Physical Description:

1 online resource (XIV, 434 pages).

Edition:

First edition 2008.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.

System Details:

text file PDF

Summary:

This book constitutes the refereed proceedings of the 10th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2008, held in Turin, Italy, in September 2008. The 40 revised full papers presented were carefully reviewed and selected from 143 submissions. The papers are organized in topical sections on conceptual design and modeling, olap and cube processing, distributed data warehouse, data privacy in data warehouse, data warehouse and data mining, clustering, mining data streams, classification, text mining and taxonomy, machine learning techniques, and data mining applications.

Contents:

Conceptual Design and Modeling

UML-Based Modeling for What-If Analysis

Model-Driven Metadata for OLAP Cubes from the Conceptual Modelling of Data Warehouses

An MDA Approach for the Development of Spatial Data Warehouses

OLAP and Cube Processing

Built-In Indicators to Discover Interesting Drill Paths in a Cube

Upper Borders for Emerging Cubes

Top_Keyword: An Aggregation Function for Textual Document OLAP

Distributed Data Warehouse

Summarizing Distributed Data Streams for Storage in Data Warehouses

Efficient Data Distribution for DWS

Data Partitioning in Data Warehouses: Hardness Study, Heuristics and ORACLE Validation

Data Privacy in Data Warehouse

A Robust Sampling-Based Framework for Privacy Preserving OLAP

Generalization-Based Privacy-Preserving Data Collection

Processing Aggregate Queries on Spatial OLAP Data

Data Warehouse and Data Mining

Efficient Incremental Maintenance of Derived Relations and BLAST Computations in Bioinformatics Data Warehouses

Mining Conditional Cardinality Patterns for Data Warehouse Query Optimization

Up and Down: Mining Multidimensional Sequential Patterns Using Hierarchies

Clustering I

Efficient K-Means Clustering Using Accelerated Graphics Processors

Extracting Knowledge from Life Courses: Clustering and Visualization

A Hybrid Clustering Algorithm Based on Multi-swarm Constriction PSO and GRASP

Clustering II

Personalizing Navigation in Folksonomies Using Hierarchical Tag Clustering

Clustered Dynamic Conditional Correlation Multivariate GARCH Model

Document Clustering by Semantic Smoothing and Dynamic Growing Cell Structure (DynGCS) for Biomedical Literature

Mining Data Streams

Mining Serial Episode Rules with Time Lags over Multiple Data Streams

Efficient Approximate Mining of Frequent Patterns over Transactional Data Streams

Continuous Trend-Based Clustering in Data Streams

Mining Multidimensional Sequential Patterns over Data Streams

Classification

Towards a Model Independent Method for Explaining Classification for Individual Instances

Selective Pre-processing of Imbalanced Data for Improving Classification Performance

A Parameter-Free Associative Classification Method

Text Mining and Taxonomy I

The Evaluation of Sentence Similarity Measures

Labeling Nodes of Automatically Generated Taxonomy for Multi-type Relational Datasets

Towards the Automatic Construction of Conceptual Taxonomies

Text Mining and Taxonomy II

Adapting LDA Model to Discover Author-Topic Relations for Email Analysis

A New Semantic Representation for Short Texts

Document-Base Extraction for Single-Label Text Classification

Machine Learning Techniques

How an Ensemble Method Can Compute a Comprehensible Model

Empirical Analysis of Reliability Estimates for Individual Regression Predictions

User Defined Partitioning - Group Data Based on Computation Model

Data Mining Applications

Workload-Aware Histograms for Remote Applications

Is a Voting Approach Accurate for Opinion Mining?

Mining Sequential Patterns with Negative Conclusions.

Other Format:

Printed edition:

ISBN:

978-3-540-85836-2

9783540858362

Access Restriction:

Restricted for use by site license.