Data, Text and Web Mining and their Business Applications

Book Description

This book features papers from the Seventh International Conference on Data Mining and Information Engineering . State-of-the-art research results are brought together with practical development experiences from researchers and application developers from many different areas.

The Conference provides a platform for discussion of theoretical and applicative aspects of data mining, with participants from all over the world from both academia and industry.

Topics included are: Data preparation; Clustering technologies; Link analysis and categorisation methods; MS SWL server data mining; Text mining; Web mining; Customer relationship management; Applications in science and engineering; Applications in business, industry and government; Information systems strategies and methodologies.

Book Contents

Nonlinear dimensionality reduction of large datasets for data exploration
V. Tomenko; V. Popov;

Text preparation through extended tokenization
M. Hassler; G. Fliedl;

A method for association rule quality evaluation based on information theory
D. Sitnikov; E. Titova; O. Ryabov;

K-means algorithm and its application for clustering companies listed in Zhejiang province
Y. Qian;

Fuzzy geo-processing for characterization of social groups: an application to a Brazilian mid-size city
G. R. A. Gonzalez; A. G. Evsukoff; R. C. Pinto; A. P. B. Sobral; J. A. Silva;

Dynamic classification: economic welfare growth in the EU during 1995–2004
I. Gertsbakh; I. Yatskiv;

Cluster analysis of 3D seismic data for oil and gas exploration
D. R. S. Moraes; R. P. Espíndola; A. G. Evsukoff; N. F. F. Ebecken;

Clustering of time series using a similarity between segments and bands determined by patterns of technical analysis
R. Basagoiti; E. Juaristi;

The CLUSTER3 system for goal-oriented conceptual clustering: method and preliminary results
W. D. Seeman; R. S. Michalski;

A neural-networks associative classification method for association rule mining
P. Sermswatsri; C. Srisa-an;

An efficient Bayesian network approach for discovering interesting patterns
R. Malhas; Z. Al Aghbari;

Kernel Discriminant Analysis and information complexity: advanced models for micro-data mining and micro-marketing solutions
C. Liberati; F. Camillo;

Mining cross-predicting stochastic ARMA time series in SQL server 2005
B. Thiesson; J. Lind;

Stability analysis of time series forecasting with ART models
A. Bocharov; D. Chickering; D. Heckerman;

Multi-relational data mining in Microsoft SQL Server 2005
C. L. Curotto; N. F. F. Ebecken; H. Blockeel;

Electrical thunderstorm nowcasting using lightning data mining
C. A. M. Vasconcellos; C. L. Curotto; C. Benetti; F. Sato; L. C. Pinheiro;

Computational system for the textual processing of industrial patents
G. M. Caputo; N. F. F. Ebecken;

Using text mining to understand the call center customers’ claims
G. M. Caputo; V. M. Bastos; N. F. F. Ebecken;

A neural-based text summarization system
S. P. Yong; A. I. Z. Abidin; Y. Y. Chen;

Analysis and development of latent semantic indexing techniques for information retrieval
M. Bottello;

High performance environment for knowledge discovering in Portuguese language texts in the Web
V. M. Bastos; N. F. F. Ebecken;

On the relationship between click rate and relevance for search engines
K. Ali; C. C. Chang;

Selecting clickstream data mining plans using a case-based reasoning application
C. Wanzeller; O. Belo;

Web page recommendation using a stochastic process model
B. J. Park; W. Choi; S. H. Noh;

A new algorithm to measure relevance among Web pages
M. S. Sadi; M. M. H. Rahman; S. Horiguchi;

A Web Mining process for e-Knowledge services
M. Castellano; F. Fiorino; F. Arcieri; V. Summo; G. Bellone de Grecis;

A study of customer relationship management (CRM) on apparel European Web sites
J. Lawler; P. Vandepeutte; D. Anderson;

Maximum resolution dichotomy for customer relations management
J. K. Ho;

Telco churn analysis classification using a wavelet and RBF approach
Â. M. Cister; N. F. F. Ebecken;

Protein Ontology Project: 2006 updates
A. S. Sidhu; T. S. Dillon; B. S. Sidhu; E. Chang;

Evidence-based medicine: data mining and pharmacoepidemiology research
B. B. Little; R. A. Weideman; K. C. Kelly; B. Cryer;

SEQUEST: mining frequent subsequences using DMA-Strips
H. Tan; T. S. Dillon; F. Hadzic; E. Chang;

Traceability in the food-sector: the state of the art in a North Eastern Italian region
A. Payaro; S. Busetto;

A data mining approach to support the development of long-term load forecasting
M. R. Maia; K. de Oliveira Gonçalves Veloso; M. T. Okamoto; A. dos Santos Rigueira; G. M. Tavares; Â. M. Cister; M. A. F. Zarur; F. T. de Souza; G. S. Terra; A. G. Evsukoff; N. F. F. Ebecken;

Corporate bankruptcy prediction using data mining techniques
M. F. Santos; P. Cortez; J. Pereira; H. Quintela;

A Text Mining based content gathering system as strategic support for SMEs
N. Baldini; F. Neri; M. Perrone;

Intelligent analysis tools for computer based assessments
T. Filatov; V. Popov;

Information visualization for the taking of decisions
S. Larreina; S. Hernando; D. Grisaleña;

Challenges in developing a cost-effective data warehouse for a tertiary institution in a developing country
A. Nazir; T. McDonald;

A proposal of information system architecture for public transport
C. García; G. Padrón; F. Alayón; J. Caraballo;

Local nulls in summarised mobile and distributed databases
D. Chan; J. F. Roddick;

A Semantic Web Portal to construction knowledge exchange
M. Argüello; A. El-Hasia; M. Lees;

Ontological support to knowledge management in a hydrogeological information system
M. T. Pazienza; M. Pennacchiotti; A. Stellato;

Enterprise Intelligence Platform in the airline industry
G. Dragosavac; A. Viljoen; C. Badenhorst;

Improvement of generation change on SSE algorithm
T. Maruyama; E. Kita;

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