Data Mining II

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ISBN: 9781853128219 | 185312821X
Cover: Hardcover
Copyright: 3/1/2000

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Summary

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Proceedings of the Second International Conference on Data Mining. Includes research results from researchers and application developers from many different areas.

Section 1: Applications of Data Mining in Science, Engineering, Business, Industry and Medicine

Web mining through the online analyst

(12)

A. Zanasi

Bayesian networks for knowledge discovery in a database from the program for genetic improvement of the Nelore breed

(10)

S.O. Rezende

C.A.J. da Rocha

R.B. Lobo

Using a data mining workbench for micro and macro economic modelling

(10)

D.F. Nettleton

V.L. Fandino

M. Witty

E. Vilajosana

Small business modeling within the financial accounting conceptual framework

(10)

A.B. Thornton - Trump

W. Fu

Paperwork reduction by means of data mining

(8)

A. Pagnoni

S. Parisi

D. Attorrese

CRM in a real-world insurance company

(10)

G. Pedrazzi

R. Turra

A. Zanasi

A data-mining alternative to model hospital operations: clinical costs and predictions

(10)

D. Riano

S. Prado

Optimal entrocopy encoders for mining multiply resolved data

(10)

R.A. DeVore

L.S. Johnson

C. Pan

R.C. Sharpley

Acquisition of KANSEI based on fuzzy inference and multivaritate analysis

(10)

T. Fukuda

T. Chikazawa

Y. Hasegawa

F. Kobayashi

K. Shimojima

Y. Yamaguchi

Data mining for database marketing at Garanti Bank

(16)

O.F. Alis

E. Karakurt

P. Melli

Use of equation discovery: Oscillating flow in a U-tube

109

(10)

G. Petkovsek

B. Kompare

The use of learning classifier systems in the direct marketing industry

119

(12)

A. Greenyer

Section 2: Data Warehousing and Databases

KR and model discovery from active DB with predictive logic

131

(10)

C.F. Nourani

G.S.L. Loo

Metadata - based data auditing

141

(10)

H. Hinrichs

T. Wilkens

An analysis of the integration between data mining applications and database systems

151

(10)

E. Bezerra

M. Mattoso

G. Xexeo

Design of a data warehouse to support the management of academic institutions

161

(12)

L. Marin

M. Hassan

A. Lozano

G. Manassero

O. Chiotti

Section 3: Internet Applications

Automatic construction of ontology from text databases

173

(8)

N. Zhong

Y.Y. Yao

Y. Kakemoto

Attractability: an indicator for optimising the design of a web site

181

(14)

A. Platis

P. Tselios

G. Vouros

Section 4: Data Mining Metholdologies

A new algorithm for finding association rules

195

(8)

L. Dumitriu

C. Tudorie

E. Pecheanu

A. Istrate

Local feature selection for heterogeneous problems

203

(10)

I. Skrypnyk

A. Tsymbal

S. Puuronen

Content in context: a data-driven approach

213

(8)

J. Vernau

Section 5: Knowledge Discovery and Data Mining

An architecture for ABEN-KDD- an agent-based environment for knowledge discovery in databases

221

(10)

M. Sousa

M. Gottgtroy

N. Ebecken

M. Rodrigues

Discovering graph structures in high dimensional spaces

231

(10)

V. Dubois

M. Quafafou

Discovering salient data features by composing and manipulating logical equations

241

(8)

D.E. Sitnikov

B. D'Cruz

P.E. Sitnikova

A qualitative spatial reasoning approach in knowledge discovery in spatial databases

249

(10)

M. Santos

L. Amaral

A fuzzy - based conceptual KDD approach: the SaintEtiQ system

259

(10)

G. Raschia

N. Mouaddib

Supervised knowledge discovery from incomplete data

269

(10)

A. Kalousis

M. Hilario

Data scale reduction via instances summarization using the Rough Set Theory

279

(10)

G. Gaumer

M. Quafafou

Data mining in temporal sequences: a technique based on MC

289

(10)

S. Massa

P.P. Puliafito

Data mining telecommunications network data for fault management and development testing

299

(10)

R. Sterritt

K. Adamson

C. M. Shapcott

E.P. Curran

Higher order mining: modelling and mining the results of knowledge discovery

309

(12)

M. Spiliopoulou

J.F. Roddick

A computational environment for extracting rules from databases

321

(10)

J.A. Baranauskas

M.C. Monard

G.E.A.P.A. Batista

Considerations about the effectiveness of inductive learning process in data-mining context

331

(12)

F. Souza

M. Gottgtroy

Section 6: Neural Networks and Decision Trees

The deterministic evolutionary learning algorithm

343

(10)

R. Tsaih

Wrapped feature selection for binary classification Bayesian regularisation neural networks: a database marketing application

353

(10)

S. Viaene

B. Baesens

D. Van den Poel

G. Dedene

J. Vandenbulcke

J. Vanthienen

Web text mining using a hybrid intelligent system based on KDT, expert system and neural network

363

(10)

F.H. Fukuda

E.L.P. Passos

M.A. Pacheco

L.B. Neto

J. Valerio

V. De Roberto Junior

E.R. Antonio

L. Chiganer

Alleviating the complexity of the Combinatorial Neural Model using a committee machine

373

(8)

H. A. do Prado

K.F. Machado

P.M. Engel

Application of decision tree classifiers to computer intrusion detection

381

(10)

N. Ye

X. Li

Effects of attribute selection measures and sampling policies on functional structures of decision trees

391

(12)

H. Du

S. Jassim

M.F. Obatusin

Section 7: Genetic Algorithms and Parallel Techniques

Credit approval by a clustering genetic algorithm

403

(10)

E.R. Hruschka

N.F.F. Ebecken

Designing optimized pattern recognition systems by learning Voronoi vectors using genetic alrorithms

413

(10)

C.M.N.A. Pereira

R. Schirru

Scalable parallel algorithms for predictive modelling

423

(12)

P. Christen

M. Hegland

O. Nielsen

S. Roberts

I. Altas

Section 8: Visualisation in Data Mining

Interactive rule-network layout with a genetic algorithm in a knowledge discovery process

435

(10)

P. Kuntz

R. Lehn

H. Briand

Visualisation for Data Mining telecommunications network data

445

(10)

R. Sterritt

E.P. Curran

K. Adamson

C.M. Shapcott

InfoZoom - Analysing Formula One racing results with an interactive data mining and visualisation tool

455

(12)

M. Spenke

C. Beilken

Section 9: Clustering and Classification Techniques

Evolving TSK fuzzy rules for classification tasks by Genetic Algorithms

467

(10)

R.P. Espindola

N.F.F. Ebecken

Hierachical clustering for data mining by RBF network

477

(10)

O. Ciftcioglu

S. Sariyildiz

Detecting visual feature importance via tree classifiers. An experience

487

(8)

C. Brambilla

I. Gagliardi

R. Schettini

A. Valsasna

Input dependent misclassification costs for cost-sensitive classifiers

495

(10)

J. Hollmen

M. Skubacz

M. Taniguchi

Undirect knowledge discovery by using singular value decomposition

505

(10)

E. Maltseva

C. Pizzuti

D. Talia

A clustering algorithm using the tabu search approach with simulated annealing

515

(10)

S-C. Chu

J.F. Roddick

Cluster generation using tabu search based maximum descent algorithm

525

(10)

J.S. Pan

S.C. Chu

Z.M. Lu

Stabilization of regression trees

535

(10)

T. Urban

T. Kampke

Influence of lossy compression on hyperspectral image classification accuracy

545

(12)

J. Minguillon

J. Pujol

J. Serra

I. Ortuno

Section 10: Tools for Pattern Discovery

Modeling dynamical systems by recurrent neural networks

557

(10)

H.G. Zimmermann

R. Neuneier

A visual data mining tool to support cooperative learning

567

(10)

J.G. le Roux

H.L. Viktor

A new insight into the algebraic structure of the exponential smoothing algorithm of Brown

577

(12)

A. Bellacicco

Section 11: Case Studies

A case based reasoning framework to extract knowledge from data

589

(12)

F. Rodrigues

C. Ramos

P. Henriques

Mining customer preference ratings for product recommendation using the support vector machine and the latent class model

601

(10)

W.K. Cheung

J.T. Kwok

M.H. Law

K-C. Tsui

Data mining a large health insurance database

611

(8)

A.F. Gualtierotti

Case study of a retail bank marketing datamart development

619

(10)

A. Cathie

Index of Authors

629

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Data Mining II

Summary

Table of Contents

Supplemental Materials

FREE SHIPPING

Rent More, Save More! Use code: BBRENTAL

5% off 1 book, 7% off 2 books, 10% off 3+ books

Data Mining II

Summary

Table of Contents

Supplemental Materials

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