Mathematical methods for knowledge discovery and data mining:
"This book focuses on the mathematical models and methods that support most data mining applications and solution techniques, covering such topics as association rules; Bayesian methods; data visualization; kernel methods; neural networks; text, speech, and image recognition; an invaluable reso...
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pa. [u.a.]
Information Science Reference
2008
|
| Schlagworte: | |
| Online-Zugang: | lizenzfrei Inhaltsverzeichnis |
| Zusammenfassung: | "This book focuses on the mathematical models and methods that support most data mining applications and solution techniques, covering such topics as association rules; Bayesian methods; data visualization; kernel methods; neural networks; text, speech, and image recognition; an invaluable resource for scholars and practitioners in the fields of biomedicine, engineering, finance, manufacturing, marketing, performance measurement, and telecommunications"--Provided by publisher |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | XXI, 369 S. graph. Darst. |
| ISBN: | 9781599045283 |
Internformat
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| 245 | 1 | 0 | |a Mathematical methods for knowledge discovery and data mining |c Giovanni Felici ; Carlo Vercellis |
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| 300 | |a XXI, 369 S. |b graph. Darst. | ||
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| 520 | 8 | |a "This book focuses on the mathematical models and methods that support most data mining applications and solution techniques, covering such topics as association rules; Bayesian methods; data visualization; kernel methods; neural networks; text, speech, and image recognition; an invaluable resource for scholars and practitioners in the fields of biomedicine, engineering, finance, manufacturing, marketing, performance measurement, and telecommunications"--Provided by publisher | |
| 650 | 4 | |a Acquisition des connaissances (Systèmes experts) | |
| 650 | 4 | |a Exploration de données (Informatique) | |
| 650 | 4 | |a Exploration de données (Informatique) - Modèles mathématiques | |
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| 650 | 4 | |a Data mining | |
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Datensatz im Suchindex
| _version_ | 1804137697106722816 |
|---|---|
| adam_text | Table of
Contents
Foreword
.............................................................................................................................................xii
Preface
................................................................................................................................................xiv
Acknowledgment
................................................................................................................................xx
Chapter I
Discretization of
Raţionai
Data
/
Jonathan
Mugan
and Klaus Truemper
..............................................1
Chapter II
Vector DNF for
Datasets
Classifications: Application to the Financial Timing
Decision Problem
/
Massimo
Liquori
and Andrea Scozzari
.................................................................24
Chapter III
Reducing a Class of Machine Learning Algorithms to Logical Commonsense
Reasoning Operations
/
Xenia Naidenovu
...........................................................................................41
Chapter IV
The Analysis of Service Quality Through Stated Preference Models and
Rule-Based Classification
/
Giovanni
Felici
and
Valerio Gatta...........................................................
65
Chapter V
Support Vector Machines for Business Applications
/
Brian
С
Lovell and
Ĺ
kristian
J.
fVa/der.
........82
Chapter VI
Kernel Width Selection for SVM Classification: A Meta-Learning Approach
,
Showkat
Ali
and Kate A. Smith
...........................................................................................................101
Chapter
VII
Protein Folding Classification Through Multicategory Discrete SVM
/
Carlotia
Orsemgo
und
Carlo Vercellis
............................................................................................... 116
Chapter
VIII
Hierarchical Profiling, Scoring, and Applications in Bioinformatics
/
Li Liao
..................................130
Chapter IX
Hierarchical Clustering Using Evolutionary Algorithms
/
Monica
Chiş
............................................146
Chapter X
Exploratory Time Series Data Mining by Genetic Clustering/ T. Warren Liao
.................................157
Chapter XI
Development of Control Signatures with a Hybrid Data Mining and Genetic Algorithm
/
Alex Burns, Shital Shah, and Andrew Kusiak
.....................................................................................179
Chapter
XII
Bayesian Belief Networks for Data Cleaning
/
Enrico Fagiuoli, Sara Omerino,
and
Fabio
Stella
..................................................................................................................................204
Chapter
XIII
A Comparison of Revision Schemes for Cleaning Labeling Noise /Chuck P. Lam
and David G. Stork
.............................................................................................................................220
Chapter
XIV
Improving Web Clickstream Analysis: Markov Chains Models and Genmax Algorithms
/
Paolo
Baldini
ami Paolo
Giudici.
.......................................................................................................233
Chapter XV
Advanced Data Mining and Visualization Techniques with Probabilistic Principal Surfaces:
Applications to Astronomy and Genetics
/
Antonino Statano,
Lara
De Vinco,
Giuseppe
Longo,
and Roberto Tagliaferri
..........................................................................................244
Chapter
XVI
Spatial Navigation Assistance System for Large Virtual Environments:
The Data Mining Approach
/
Mehmed Kantanbic, Pedram Sadeghian, and Walaa M. Sheta
..........265
Chapter
XVII
Using Grids for Distributed Knowledge Discovery I Antonio
Congiusta, Domenico
Talia,
and Paolo Trunfio
...............................................................................................................................284
Chapter
XVIII
Fuzzy Miner: Extracting Fuzzy Rules from Numerical Patterns
/
Nikos
Pele
kis.
Bah is Theodoulidis,
bannis
Kopanakis, and
Ya/mis
Theodoridis
..............................299
Chapter
XIX
Routing Attribute Data Mining Based on Rough Set Theory
/
Yanbing Liu, Menghao Wang,
and Jong Tang
.....................................................................................................................................322
Compilation of References
..............................................................................................................338
About the Contributors
...................................................................................................................361
Index
...................................................................................................................................................368
|
| adam_txt |
Table of
Contents
Foreword
.xii
Preface
.xiv
Acknowledgment
.xx
Chapter I
Discretization of
Raţionai
Data
/
Jonathan
Mugan
and Klaus Truemper
.1
Chapter II
Vector DNF for
Datasets
Classifications: Application to the Financial Timing
Decision Problem
/
Massimo
Liquori
and Andrea Scozzari
.24
Chapter III
Reducing a Class of Machine Learning Algorithms to Logical Commonsense
Reasoning Operations
/
Xenia Naidenovu
.41
Chapter IV
The Analysis of Service Quality Through Stated Preference Models and
Rule-Based Classification
/
Giovanni
Felici
and
Valerio Gatta.
65
Chapter V
Support Vector Machines for Business Applications
/
Brian
С
Lovell and
Ĺ
'kristian
J.
fVa/der.
.82
Chapter VI
Kernel Width Selection for SVM Classification: A Meta-Learning Approach
,
Showkat
Ali
and Kate A. Smith
.101
Chapter
VII
Protein Folding Classification Through Multicategory Discrete SVM
/
Carlotia
Orsemgo
und
Carlo Vercellis
. 116
Chapter
VIII
Hierarchical Profiling, Scoring, and Applications in Bioinformatics
/
Li Liao
.130
Chapter IX
Hierarchical Clustering Using Evolutionary Algorithms
/
Monica
Chiş
.146
Chapter X
Exploratory Time Series Data Mining by Genetic Clustering/ T. Warren Liao
.157
Chapter XI
Development of Control Signatures with a Hybrid Data Mining and Genetic Algorithm
/
Alex Burns, Shital Shah, and Andrew Kusiak
.179
Chapter
XII
Bayesian Belief Networks for Data Cleaning
/
Enrico Fagiuoli, Sara Omerino,
and
Fabio
Stella
.204
Chapter
XIII
A Comparison of Revision Schemes for Cleaning Labeling Noise /Chuck P. Lam
and David G. Stork
.220
Chapter
XIV
Improving Web Clickstream Analysis: Markov Chains Models and Genmax Algorithms
/
Paolo
Baldini
ami Paolo
Giudici.
.233
Chapter XV
Advanced Data Mining and Visualization Techniques with Probabilistic Principal Surfaces:
Applications to Astronomy and Genetics
/
Antonino Statano,
Lara
De Vinco,
Giuseppe
Longo,
and Roberto Tagliaferri
.244
Chapter
XVI
Spatial Navigation Assistance System for Large Virtual Environments:
The Data Mining Approach
/
Mehmed Kantanbic, Pedram Sadeghian, and Walaa M. Sheta
.265
Chapter
XVII
Using Grids for Distributed Knowledge Discovery I Antonio
Congiusta, Domenico
Talia,
and Paolo Trunfio
.284
Chapter
XVIII
Fuzzy Miner: Extracting Fuzzy Rules from Numerical Patterns
/
Nikos
Pele
kis.
Bah is Theodoulidis,
bannis
Kopanakis, and
Ya/mis
Theodoridis
.299
Chapter
XIX
Routing Attribute Data Mining Based on Rough Set Theory
/
Yanbing Liu, Menghao Wang,
and Jong Tang
.322
Compilation of References
.338
About the Contributors
.361
Index
.368 |
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| spelling | Mathematical methods for knowledge discovery and data mining Giovanni Felici ; Carlo Vercellis Hershey, Pa. [u.a.] Information Science Reference 2008 XXI, 369 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index "This book focuses on the mathematical models and methods that support most data mining applications and solution techniques, covering such topics as association rules; Bayesian methods; data visualization; kernel methods; neural networks; text, speech, and image recognition; an invaluable resource for scholars and practitioners in the fields of biomedicine, engineering, finance, manufacturing, marketing, performance measurement, and telecommunications"--Provided by publisher Acquisition des connaissances (Systèmes experts) Exploration de données (Informatique) Exploration de données (Informatique) - Modèles mathématiques Mathematisches Modell Data mining Data mining Mathematical models Knowledge acquisition (Expert systems) Data Mining (DE-588)4428654-5 gnd rswk-swf Mathematische Methode (DE-588)4155620-3 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Electronic books Data Mining (DE-588)4428654-5 s Mathematische Methode (DE-588)4155620-3 s DE-604 Felici, Giovanni Sonstige oth Vercellis, Carlo 1955- Sonstige (DE-588)13737822X oth http://www.loc.gov/catdir/toc/ecip0719/2007022228.html lizenzfrei Inhaltsverzeichnis Digitalisierung UB Bamberg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016526933&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Mathematical methods for knowledge discovery and data mining Acquisition des connaissances (Systèmes experts) Exploration de données (Informatique) Exploration de données (Informatique) - Modèles mathématiques Mathematisches Modell Data mining Data mining Mathematical models Knowledge acquisition (Expert systems) Data Mining (DE-588)4428654-5 gnd Mathematische Methode (DE-588)4155620-3 gnd |
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| title | Mathematical methods for knowledge discovery and data mining |
| title_auth | Mathematical methods for knowledge discovery and data mining |
| title_exact_search | Mathematical methods for knowledge discovery and data mining |
| title_exact_search_txtP | Mathematical methods for knowledge discovery and data mining |
| title_full | Mathematical methods for knowledge discovery and data mining Giovanni Felici ; Carlo Vercellis |
| title_fullStr | Mathematical methods for knowledge discovery and data mining Giovanni Felici ; Carlo Vercellis |
| title_full_unstemmed | Mathematical methods for knowledge discovery and data mining Giovanni Felici ; Carlo Vercellis |
| title_short | Mathematical methods for knowledge discovery and data mining |
| title_sort | mathematical methods for knowledge discovery and data mining |
| topic | Acquisition des connaissances (Systèmes experts) Exploration de données (Informatique) Exploration de données (Informatique) - Modèles mathématiques Mathematisches Modell Data mining Data mining Mathematical models Knowledge acquisition (Expert systems) Data Mining (DE-588)4428654-5 gnd Mathematische Methode (DE-588)4155620-3 gnd |
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