Data science and classification: with 42 tables
Gespeichert in:
Format: | Buch |
---|---|
Sprache: | English |
Veröffentlicht: |
Berlin [u.a.]
Springer
2006
|
Schriftenreihe: | Studies in classification, data analysis, and knowledge organization
|
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | XII, 358 S. Ill., graph. Darst. 235 mm x 155 mm |
ISBN: | 3540344152 9783540344155 |
Internformat
MARC
LEADER | 00000nam a2200000 c 4500 | ||
---|---|---|---|
001 | BV021643720 | ||
003 | DE-604 | ||
005 | 20070419 | ||
007 | t | ||
008 | 060705s2006 gw ad|| |||| 10||| eng d | ||
015 | |a 06,N19,0010 |2 dnb | ||
016 | 7 | |a 979366615 |2 DE-101 | |
020 | |a 3540344152 |c Pb. : ca. EUR 90.90 (freier Pr.), ca. sfr 144.00 (freier Pr.) |9 3-540-34415-2 | ||
020 | |a 9783540344155 |9 978-3-540-34415-5 | ||
024 | 3 | |a 9783540344155 | |
028 | 5 | 2 | |a 11759263 |
035 | |a (OCoLC)634285898 | ||
035 | |a (DE-599)BVBBV021643720 | ||
040 | |a DE-604 |b ger |e rakddb | ||
041 | 0 | |a eng | |
044 | |a gw |c XA-DE-BE | ||
049 | |a DE-M49 |a DE-824 |a DE-739 |a DE-11 | ||
084 | |a SD 2006 |0 (DE-625)142740: |2 rvk | ||
084 | |a SK 840 |0 (DE-625)143261: |2 rvk | ||
084 | |a 004 |2 sdnb | ||
084 | |a MAT 627f |2 stub | ||
245 | 1 | 0 | |a Data science and classification |b with 42 tables |c Vladimir Batagelj ... (ed.) |
264 | 1 | |a Berlin [u.a.] |b Springer |c 2006 | |
300 | |a XII, 358 S. |b Ill., graph. Darst. |c 235 mm x 155 mm | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 0 | |a Studies in classification, data analysis, and knowledge organization | |
650 | 0 | 7 | |a Datenanalyse |0 (DE-588)4123037-1 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Cluster-Analyse |0 (DE-588)4070044-6 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Klassifikation |0 (DE-588)4030958-7 |2 gnd |9 rswk-swf |
655 | 7 | |0 (DE-588)1071861417 |a Konferenzschrift |y 2006 |z Ljubljana |2 gnd-content | |
689 | 0 | 0 | |a Klassifikation |0 (DE-588)4030958-7 |D s |
689 | 0 | |5 DE-604 | |
689 | 1 | 0 | |a Datenanalyse |0 (DE-588)4123037-1 |D s |
689 | 1 | |5 DE-604 | |
689 | 2 | 0 | |a Cluster-Analyse |0 (DE-588)4070044-6 |D s |
689 | 2 | |C b |5 DE-604 | |
700 | 1 | |a Batagelj, Vladimir |d 1948- |e Sonstige |0 (DE-588)132116987 |4 oth | |
856 | 4 | 2 | |m Digitalisierung UB Passau |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014858463&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
999 | |a oai:aleph.bib-bvb.de:BVB01-014858463 |
Datensatz im Suchindex
_version_ | 1804135446951755776 |
---|---|
adam_text | Contents
Preface
The 10th IFCS Conference
Hans-Hermann
Contents
Part I. Similarity and Dissimilarity
A Tree-Based Similarity for Evaluating Concept Proximities
in an Ontology
Emmanuel
Henri Briand
Improved
Ahlame Chouahria-Douzal, Panduranga Naidu Nagabhushan
Comparison of Distance Indices Between Partitions
Lucile
Design of Dissimilarity Measures: A New Dissimilarity
Between Species Distribution Areas
Christian Hennig,
Dissimilarities for Web Usage Mining
Fabrice
Alzennyr
Properties and Performance of Shape Similarity Measures
Remco
Part
Hierarchical Clustering for Boxplot Variables
Javier Arroyo, Carlos Mate, Antonio
Evaluation of Allocation Rules Under Some Cost Constraints
Farid Beninel, Michel Grun Rehomme
Crisp Partitions Induced by a Fuzzy Set
Slávka Bodjanova
X
Empirical Comparison of a Monothetic Divisive Clustering
Method with the Ward and the k-means Clustering Methods
Marie Chavent, Yves Lechevallier
Model Selection for the Binary Latent Class Model: A Monte
Carlo Simulation
José G. Dias
Finding Meaningful and Stable Clusters Using Local Cluster
Analysis
Hans-Joachim
Comparing Optimal Individual and Collective Assessment
Procedures
Hans J.
Part III. Network and Graph Analysis
Some Open Problem Sets for Generalized Blockmodeling
Patrick Doreian
Spectral Clustering and Multidimensional Scaling: A Unified
View
François Bavaud
Analyzing the Structure of U.S. Patents Network
Vladimir Batagelj,
Matjaž Zaveršník
Identifying and Classifying Social Groups: A Machine
Learning Approach
Matteo Roffilli,
Part IV. Analysis of Symbolic Data
Multidimensional Scaling of Histogram Dissimilarities
Patrick
Dependence and Interdependence Analysis for Interval-Valued
Variables
Carlo
A New
Clustering Of Histogram Symbolic Data
Antonio Irpino, Rosanna Verde
Contents
Symbolic Clustering of Large
Yves Lechevallier, Rosanna Verde, Francisco
A Dynamic Clustering Method for Mixed Feature-Type
Symbolic Data
Renata
Daniel Ferrari Pizzato
Part V.
Iterated Boosting for Outlier Detection
Nathalie Cheze,
Sub-species of Homopus Areolatus? Biplots and Small Class
Inference with Analysis of Distance
Sugnet Gardner,
Revised Boxplot Based Discretization as the Kernel of
Automatic Interpretation of Classes Using Numerical
Variables
Karina
Part
Comparison of Two Methods for Detecting and Correcting
Systematic Errors in High-throughput Screening Data
Andrei Gagarin, Dmytro Kevorkov, Vladimir
Pablo Zentilli
kNN Versus SVM in the Collaborative Filtering Framework
Mihá Grčar, Blaž
Mining
Christoph Schmitz, Andreas Hotho, Robert Jäschke, Gerd Stumme
Empirical Analysis of
Algorithms with Variable Synthetic Data
Karen H. L. Tso, Lars Schmidt-Thieme
Patterns of Associations in Finite Sets of Items
Ralf
XII Contents
Part
Generalized N-gram Measures for Melodic Similarity
Klaus Frieler
Evaluating Different Approaches to Measuring the Similarity
of Melodies
Daniel Mu llensiefen, Klaus Frieler
Using MCMC as a Stochastic Optimization Procedure for
Musical Time Series
Katrin Sommer, Claus Weihs
Local
Claus Weihs, Gero Szepannek, Uwe Ligges, Karsten Luebke,
Nils Raabe
Part VIII. Gene
Improving the
Classification of Gene Expression Data Through Feature
Selection
Edgar
A New Efficient Method for Assessing Missing Nucleotides in
DNA
Model
Abdoulaye
Mathieu Blanchette, François-Joseph
New Efficient Algorithm for Modeling Partial and Complete
Gene Transfer Scenarios
Vladimir
Alpha Boubacar Diallo,
List of Reviewers
Key words
Authors
|
adam_txt |
Contents
Preface
The 10th IFCS Conference
Hans-Hermann
Contents
Part I. Similarity and Dissimilarity
A Tree-Based Similarity for Evaluating Concept Proximities
in an Ontology
Emmanuel
Henri Briand
Improved
Ahlame Chouahria-Douzal, Panduranga Naidu Nagabhushan
Comparison of Distance Indices Between Partitions
Lucile
Design of Dissimilarity Measures: A New Dissimilarity
Between Species Distribution Areas
Christian Hennig,
Dissimilarities for Web Usage Mining
Fabrice
Alzennyr
Properties and Performance of Shape Similarity Measures
Remco
Part
Hierarchical Clustering for Boxplot Variables
Javier Arroyo, Carlos Mate, Antonio
Evaluation of Allocation Rules Under Some Cost Constraints
Farid Beninel, Michel Grun Rehomme
Crisp Partitions Induced by a Fuzzy Set
Slávka Bodjanova
X
Empirical Comparison of a Monothetic Divisive Clustering
Method with the Ward and the k-means Clustering Methods
Marie Chavent, Yves Lechevallier
Model Selection for the Binary Latent Class Model: A Monte
Carlo Simulation
José G. Dias
Finding Meaningful and Stable Clusters Using Local Cluster
Analysis
Hans-Joachim
Comparing Optimal Individual and Collective Assessment
Procedures
Hans J.
Part III. Network and Graph Analysis
Some Open Problem Sets for Generalized Blockmodeling
Patrick Doreian
Spectral Clustering and Multidimensional Scaling: A Unified
View
François Bavaud
Analyzing the Structure of U.S. Patents Network
Vladimir Batagelj,
Matjaž Zaveršník
Identifying and Classifying Social Groups: A Machine
Learning Approach
Matteo Roffilli,
Part IV. Analysis of Symbolic Data
Multidimensional Scaling of Histogram Dissimilarities
Patrick
Dependence and Interdependence Analysis for Interval-Valued
Variables
Carlo
A New
Clustering Of Histogram Symbolic Data
Antonio Irpino, Rosanna Verde
Contents
Symbolic Clustering of Large
Yves Lechevallier, Rosanna Verde, Francisco
A Dynamic Clustering Method for Mixed Feature-Type
Symbolic Data
Renata
Daniel Ferrari Pizzato
Part V.
Iterated Boosting for Outlier Detection
Nathalie Cheze,
Sub-species of Homopus Areolatus? Biplots and Small Class
Inference with Analysis of Distance
Sugnet Gardner,
Revised Boxplot Based Discretization as the Kernel of
Automatic Interpretation of Classes Using Numerical
Variables
Karina
Part
Comparison of Two Methods for Detecting and Correcting
Systematic Errors in High-throughput Screening Data
Andrei Gagarin, Dmytro Kevorkov, Vladimir
Pablo Zentilli
kNN Versus SVM in the Collaborative Filtering Framework
Mihá Grčar, Blaž
Mining
Christoph Schmitz, Andreas Hotho, Robert Jäschke, Gerd Stumme
Empirical Analysis of
Algorithms with Variable Synthetic Data
Karen H. L. Tso, Lars Schmidt-Thieme
Patterns of Associations in Finite Sets of Items
Ralf
XII Contents
Part
Generalized N-gram Measures for Melodic Similarity
Klaus Frieler
Evaluating Different Approaches to Measuring the Similarity
of Melodies
Daniel Mu'llensiefen, Klaus Frieler
Using MCMC as a Stochastic Optimization Procedure for
Musical Time Series
Katrin Sommer, Claus Weihs
Local
Claus Weihs, Gero Szepannek, Uwe Ligges, Karsten Luebke,
Nils Raabe
Part VIII. Gene
Improving the
Classification of Gene Expression Data Through Feature
Selection
Edgar
A New Efficient Method for Assessing Missing Nucleotides in
DNA
Model
Abdoulaye
Mathieu Blanchette, François-Joseph
New Efficient Algorithm for Modeling Partial and Complete
Gene Transfer Scenarios
Vladimir
Alpha Boubacar Diallo,
List of Reviewers
Key words
Authors |
any_adam_object | 1 |
any_adam_object_boolean | 1 |
author_GND | (DE-588)132116987 |
building | Verbundindex |
bvnumber | BV021643720 |
classification_rvk | SD 2006 SK 840 |
classification_tum | MAT 627f |
ctrlnum | (OCoLC)634285898 (DE-599)BVBBV021643720 |
discipline | Informatik Mathematik |
discipline_str_mv | Informatik Mathematik |
format | Book |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02061nam a2200517 c 4500</leader><controlfield tag="001">BV021643720</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20070419 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">060705s2006 gw ad|| |||| 10||| eng d</controlfield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">06,N19,0010</subfield><subfield code="2">dnb</subfield></datafield><datafield tag="016" ind1="7" ind2=" "><subfield code="a">979366615</subfield><subfield code="2">DE-101</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">3540344152</subfield><subfield code="c">Pb. : ca. EUR 90.90 (freier Pr.), ca. sfr 144.00 (freier Pr.)</subfield><subfield code="9">3-540-34415-2</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783540344155</subfield><subfield code="9">978-3-540-34415-5</subfield></datafield><datafield tag="024" ind1="3" ind2=" "><subfield code="a">9783540344155</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">11759263</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)634285898</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV021643720</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rakddb</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">gw</subfield><subfield code="c">XA-DE-BE</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-M49</subfield><subfield code="a">DE-824</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-11</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">SD 2006</subfield><subfield code="0">(DE-625)142740:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">SK 840</subfield><subfield code="0">(DE-625)143261:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">004</subfield><subfield code="2">sdnb</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">MAT 627f</subfield><subfield code="2">stub</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Data science and classification</subfield><subfield code="b">with 42 tables</subfield><subfield code="c">Vladimir Batagelj ... (ed.)</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berlin [u.a.]</subfield><subfield code="b">Springer</subfield><subfield code="c">2006</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">XII, 358 S.</subfield><subfield code="b">Ill., graph. Darst.</subfield><subfield code="c">235 mm x 155 mm</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Studies in classification, data analysis, and knowledge organization</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Datenanalyse</subfield><subfield code="0">(DE-588)4123037-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Cluster-Analyse</subfield><subfield code="0">(DE-588)4070044-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Klassifikation</subfield><subfield code="0">(DE-588)4030958-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)1071861417</subfield><subfield code="a">Konferenzschrift</subfield><subfield code="y">2006</subfield><subfield code="z">Ljubljana</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Klassifikation</subfield><subfield code="0">(DE-588)4030958-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="1" ind2="0"><subfield code="a">Datenanalyse</subfield><subfield code="0">(DE-588)4123037-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="2" ind2="0"><subfield code="a">Cluster-Analyse</subfield><subfield code="0">(DE-588)4070044-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="2" ind2=" "><subfield code="C">b</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Batagelj, Vladimir</subfield><subfield code="d">1948-</subfield><subfield code="e">Sonstige</subfield><subfield code="0">(DE-588)132116987</subfield><subfield code="4">oth</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">Digitalisierung UB Passau</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014858463&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-014858463</subfield></datafield></record></collection> |
genre | (DE-588)1071861417 Konferenzschrift 2006 Ljubljana gnd-content |
genre_facet | Konferenzschrift 2006 Ljubljana |
id | DE-604.BV021643720 |
illustrated | Illustrated |
index_date | 2024-07-02T15:00:51Z |
indexdate | 2024-07-09T20:40:39Z |
institution | BVB |
isbn | 3540344152 9783540344155 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-014858463 |
oclc_num | 634285898 |
open_access_boolean | |
owner | DE-M49 DE-BY-TUM DE-824 DE-739 DE-11 |
owner_facet | DE-M49 DE-BY-TUM DE-824 DE-739 DE-11 |
physical | XII, 358 S. Ill., graph. Darst. 235 mm x 155 mm |
publishDate | 2006 |
publishDateSearch | 2006 |
publishDateSort | 2006 |
publisher | Springer |
record_format | marc |
series2 | Studies in classification, data analysis, and knowledge organization |
spelling | Data science and classification with 42 tables Vladimir Batagelj ... (ed.) Berlin [u.a.] Springer 2006 XII, 358 S. Ill., graph. Darst. 235 mm x 155 mm txt rdacontent n rdamedia nc rdacarrier Studies in classification, data analysis, and knowledge organization Datenanalyse (DE-588)4123037-1 gnd rswk-swf Cluster-Analyse (DE-588)4070044-6 gnd rswk-swf Klassifikation (DE-588)4030958-7 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 2006 Ljubljana gnd-content Klassifikation (DE-588)4030958-7 s DE-604 Datenanalyse (DE-588)4123037-1 s Cluster-Analyse (DE-588)4070044-6 s b DE-604 Batagelj, Vladimir 1948- Sonstige (DE-588)132116987 oth Digitalisierung UB Passau application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014858463&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Data science and classification with 42 tables Datenanalyse (DE-588)4123037-1 gnd Cluster-Analyse (DE-588)4070044-6 gnd Klassifikation (DE-588)4030958-7 gnd |
subject_GND | (DE-588)4123037-1 (DE-588)4070044-6 (DE-588)4030958-7 (DE-588)1071861417 |
title | Data science and classification with 42 tables |
title_auth | Data science and classification with 42 tables |
title_exact_search | Data science and classification with 42 tables |
title_exact_search_txtP | Data science and classification with 42 tables |
title_full | Data science and classification with 42 tables Vladimir Batagelj ... (ed.) |
title_fullStr | Data science and classification with 42 tables Vladimir Batagelj ... (ed.) |
title_full_unstemmed | Data science and classification with 42 tables Vladimir Batagelj ... (ed.) |
title_short | Data science and classification |
title_sort | data science and classification with 42 tables |
title_sub | with 42 tables |
topic | Datenanalyse (DE-588)4123037-1 gnd Cluster-Analyse (DE-588)4070044-6 gnd Klassifikation (DE-588)4030958-7 gnd |
topic_facet | Datenanalyse Cluster-Analyse Klassifikation Konferenzschrift 2006 Ljubljana |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014858463&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT batageljvladimir datascienceandclassificationwith42tables |