Data Warehousing and Knowledge Discovery : 11th International Conference, DaWaK 2009 Linz, Austria, August 31-September 2, 2009 Proceedings / edited by Mukesh K. Mohania, A Min Tjoa.

Format:

Book

Contributor:

Mohania, Mukesh K., editor.

Tjoa, A Min, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 5691.

Information Systems and Applications, incl. Internet/Web, and HCI ; 5691

Language:

English

Subjects (All):

Database management.

Data mining.

Information storage and retrieval.

Application software.

Computers.

Pattern perception.

Database Management.

Data Mining and Knowledge Discovery.

Information Storage and Retrieval.

Information Systems Applications (incl. Internet).

Information Systems and Communication Service.

Pattern Recognition.

Local Subjects:

Database Management.

Data Mining and Knowledge Discovery.

Information Storage and Retrieval.

Information Systems Applications (incl. Internet).

Information Systems and Communication Service.

Pattern Recognition.

Physical Description:

1 online resource (XIV, 480 pages).

Edition:

First edition 2009.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.

System Details:

text file PDF

Summary:

This book constitutes the refereed proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2009 held in Linz, Austria in August/September 2009. The 36 revised full papers presented were carefully reviewed and selected from 124 submissions. The papers are organized in topical sections on data warehouse modeling, data streams, physical design, pattern mining, data cubes, data mining applications, analytics, data mining, clustering, spatio-temporal mining, rule mining, and OLAP recommendation.

Contents:

Invited Talk

New Challenges in Information Integration

Data Warehouse Modeling

What Is Spatio-Temporal Data Warehousing?

Towards a Modernization Process for Secure Data Warehouses

Visual Modelling of Data Warehousing Flows with UML Profiles

Data Streams

CAMS: OLAPing Multidimensional Data Streams Efficiently

Data Stream Prediction Using Incremental Hidden Markov Models

History Guided Low-Cost Change Detection in Streams

Physical Design

HOBI: Hierarchically Organized Bitmap Index for Indexing Dimensional Data

A Joint Design Approach of Partitioning and Allocation in Parallel Data Warehouses

Fast Loads and Fast Queries

Pattern Mining

TidFP: Mining Frequent Patterns in Different Databases with Transaction ID

Non-Derivable Item Set and Non-Derivable Literal Set Representations of Patterns Admitting Negation

Which Is Better for Frequent Pattern Mining: Approximate Counting or Sampling?

A Fast Feature-Based Method to Detect Unusual Patterns in Multidimensional Datasets

Data Cubes

Efficient Online Aggregates in Dense-Region-Based Data Cube Representations

BitCube: A Bottom-Up Cubing Engineering

Exact and Approximate Sizes of Convex Datacubes

Data Mining Applications

Finding Clothing That Fit through Cluster Analysis and Objective Interestingness Measures

Customer Churn Prediction for Broadband Internet Services

Mining High-Correlation Association Rules for Inferring Gene Regulation Networks

Analytics

Extend UDF Technology for Integrated Analytics

High Performance Analytics with the R3-Cache

Open Source BI Platforms: A Functional and Architectural Comparison

Ontology-Based Exchange and Immediate Application of Business Calculation Definitions for Online Analytical Processing

Data Mining

Skyline View: Efficient Distributed Subspace Skyline Computation

HDB-Subdue: A Scalable Approach to Graph Mining

Mining Violations to Relax Relational Database Constraints

Arguing from Experience to Classifying Noisy Data

Clustering

Dynamic Clustering-Based Estimation of Missing Values in Mixed Type Data

The PDG-Mixture Model for Clustering

Clustering for Video Retrieval

Spatio-Temporal Mining

Trends Analysis of Topics Based on Temporal Segmentation

Finding N-Most Prevalent Colocated Event Sets

Rule Mining

Rule Learning with Probabilistic Smoothing

Missing Values: Proposition of a Typology and Characterization with an Association Rule-Based Model

Olap Recommendation

Recommending Multidimensional Queries

Preference-Based Recommendations for OLAP Analysis.

Other Format:

Printed edition:

ISBN:

978-3-642-03730-6

9783642037306

Access Restriction:

Restricted for use by site license.