Advanced data mining techniques for compound objects:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | English |
| Veröffentlicht: |
2004
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XII, 256 S. Ill., graph. Darst. 30 cm |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
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| 001 | BV019761915 | ||
| 003 | DE-604 | ||
| 007 | t | ||
| 008 | 050406s2004 gw ad|| m||| 00||| eng d | ||
| 015 | |a 05,H02,0062 |2 dnb | ||
| 016 | 7 | |a 973054867 |2 DE-101 | |
| 035 | |a (OCoLC)76600596 | ||
| 035 | |a (DE-599)BVBBV019761915 | ||
| 040 | |a DE-604 |b ger |e rakddb | ||
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| 044 | |a gw |c XA-DE | ||
| 049 | |a DE-19 |a DE-12 | ||
| 084 | |a 004 |2 sdnb | ||
| 100 | 1 | |a Schubert, Matthias |d 1973- |e Verfasser |0 (DE-588)129577626 |4 aut | |
| 245 | 1 | 0 | |a Advanced data mining techniques for compound objects |c von Matthias Schubert |
| 264 | 1 | |c 2004 | |
| 300 | |a XII, 256 S. |b Ill., graph. Darst. |c 30 cm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 502 | |a München, Univ., Diss., 2004 | ||
| 650 | 0 | 7 | |a Data Mining |0 (DE-588)4428654-5 |2 gnd |9 rswk-swf |
| 655 | 7 | |0 (DE-588)4113937-9 |a Hochschulschrift |2 gnd-content | |
| 689 | 0 | 0 | |a Data Mining |0 (DE-588)4428654-5 |D s |
| 689 | 0 | |5 DE-604 | |
| 856 | 4 | 2 | |m DNB Datenaustausch |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=013088251&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-013088251 | |
Datensatz im Suchindex
| _version_ | 1807593188205002752 |
|---|---|
| adam_text |
CONTENTS
I
PRELIMINARIES
1
1
INTRODUCTION
3
1.1
KNOWLEDGE
DISCOVERY
IN
DATABASES
.
4
1.1.1
DATA
MINING
.
7
1.1.2
CLUSTERING
AND
CLASSIFICATION
.
9
1.1.3
DATA
MINING
AND
COMPLEX
OBJECTS
.
12
1.2
OUTLINE
OF
THE
THESIS
.
15
2
BASIC
TECHNIQUES
OF
KNOWLEDGE
DISCOVERY
AND
DATA
MINING
19
2.1
FEATURE
SPACES
AND
DATA
TRANSFORMATION
FOR
KDD
.
20
2.1.1
FEATURE
TRANSFORMATION
AND
SIMILARITY
SEARCH
.
20
2.1.2
DATA
TRANSFORMATION
FOR
TEXT
DOCUMENTS
.
23
2.2
CLUSTERING
ALGORITHMS
.
28
2.2.1
THE
TASK
OF
CLUSTERING
.
29
2.2.2
DIRECTIONS
OF
CLUSTERING
ALGORITHMS
.
29
2.2.3
DENSITY-BASED
CLUSTERING
.
32
2.3
CLASSIFICATION
ALGORITHMS
.
44
2.3.1
GENERAL
ASPECTS
OF
CLASSIFICATION
.
44
2.3.2
IMPORTANT
DIRECTIONS
OF
CLASSIFICATION
.
48
II
DATA
MINING
IN
MULTI-INSTANCE
OBJECTS
59
3
MULTI-INSTANCE
OBJECTS
61
3.1
MOTIVATION
.
62
3.2
MULTI-INSTANCE
LEARNING
.
64
X
CONTENTS
4
CLUSTERING
AND
SIMILARITY
SEARCH
IN
CAD
DATABASES
USING
MULTI-INSTANCE
REPRESENTATIONS
67
4.1
MOTIVATION
.
68
4.2
RELATED
WORK
.
69
4.2.1
FEATURE-BASED
SIMILARITY
.
69
4.2.2
GEOMETRY-BASED
SIMILARITY
.
70
4.3
SIMILARITY
MODELS
FOR
VOXELIZED
CAD
OBJECTS
.
70
4.3.1
SHAPE
HISTOGRAMS
.
70
4.3.2
NORMALIZATION
.
71
4.3.3
SPATIAL
FEATURES
.
73
4.4
A
MULTI-INSTANCE
REPRESENTATION
FOR
CAD-PARTS
.
77
4.4.1
REASONS
FOR
THE
USE
OF
MULTI-INSTANCE
OBJECTS
.
80
4.4.2
DISTANCE
MEASURES
ON
MULTI-INSTANCE
OBJECTS
.
81
4.4.3
ANSWERING
SIMILARITY
QUERIES
ON
VECTOR
SET
DATA
EFFI
CIENTLY
84
4.5
EVALUATION
.
86
4.5.1
DATA
SETS
.
86
4.5.2
CLUSTERING
CAD-PARTS
.
87
4.5.3
EVALUATION
OF
THE
EFFICIENCY
.
92
4.6
SUMMARY
.
94
5
WEBSITE
MINING
97
5.1
MOTIVATION
.
98
5.2
A
GRAPH-ORIENTED
VIEW
OF
THE
WWW
.
101
5.3
CLASSIFICATION
OF
WEBSITES
.
103
5.3.1
RELATED
WORK
ON
WEBSITE
CLASSIFICATION
.
104
5.3.2
GENERAL
ASPECTS
OF
WEBSITE
CLASSIFICATION
.
105
5.3.3
NAIVE
APPROACHES
TO
WEBSITE
CLASSIFICATION
.
106
5.3.4
CLASSIFICATION
USING
PAGE
CLASSES
.
107
5.3.5
CLASSIFICATION
WITHOUT
PAGE
CLASSES
.
114
5.3.6
PRUNING
THE
IRRELEVANT
AREA
OF
A
WEBSITE
.
120
5.3.7
EVALUATION
OF
WEBSITE
CLASSIFIERS
.
125
5.4
FOCUSED
CRAWLING
FOR
RELEVANT
WEBSITES
.
133
5.4.1
MOTIVATION
.
133
5.4.2
RELATED
WORK
ON
FOCUSED
CRAWLING
.
135
5.4.3
RETRIEVING
WEBSITES
WITH
FOCUSED
CRAWLING
.
136
5.4.4
PRELIMINARIES
TO
FOCUSED
WEBSITE
CRAWLING
.
137
5.4.5
A
FOCUSED
WEBSITE
CRAWLER
.
139
CONTENTS
XI
5.4.6
EXPERIMENTAL
EVALUATION
FOR
FOCUSED
WEBSITE
CRAWLING
.
151
5.5
SUMMARY
.
159
6
CONCLUSIONS
ABOUT
MULTI-INSTANCE
DATA
MINING
163
6.1
SUMMARY
OF
THE
INTRODUCED
MULTI-INSTANCE
DATA
MINING
TECHNIQUES
.
164
6.2
CONCLUSION
ABOUT
MULTI-INSTANCE
DATA
MINING
.
166
III
DATA
MINING
IN
MULTI-REPRESENTED
OBJECTS
169
7
MULTI-REPRESENTED
OBJECTS
171
7.1
MULTI-REPRESENTED
OBJECTS
.
172
7.2
APPLICATIONS
OF
MULTI-REPRESENTED
OBJECTS
.
173
8
CLUSTERING
OF
MULTI-REPRESENTED
OBJECTS
177
8.1
INTRODUCTION
.
178
8.2
RELATED
WORK
.
179
8.3
CLUSTERING
MULTI-REPRESENTED
OBJECTS
.
181
8.3.1
UNION
OF
DIFFERENT
REPRESENTATIONS
.
182
8.3.2
INTERSECTION
OF
DIFFERENT
REPRESENTATIONS
.
183
8.3.3
DETERMINATION
OF
DENSITY
PARAMETERS
.
185
8.4
PERFORMANCE
EVALUATION
.
186
8.4.1
DERIVING
MEANINGFUL
GROUPINGS
IN
PROTEIN
DATABASES
.
186
8.4.2
CLUSTERING
IMAGES
BY
MULTIPLE
REPRESENTATIONS
.
189
8.5
CONCLUSIONS
.
191
9
DATABASE
INTEGRATION
USING
CLASSIFICATION
OF
MULTI-REP
RESENTED
OBJECTS
193
9.1
INTRODUCTION
.
194
9.2
RELATED
WORK
.
196
9.3
CLASSIFICATION
OF
BIOLOGICAL
OBJECTS
.
198
9.3.1
USING
SUPPORT
VECTOR
MACHINES
FOR
MAKING
SET-VALUED
PREDICTIONS
.
200
9.3.2
MULTI-REPRESENTED
CLASSIFICATION
USING
SVMS
.
202
9.3.3
STRUCTURING
THE
OUTPUT
SPACE
.
207
9.4
EXPERIMENTAL
EVALUATION
.
212
9.4.1
TESTBED
.
212
XII
CONTENTS
9.4.2
EXPERIMENTAL
RESULTS
.
214
9.5
CONCLUSIONS
.
218
10
CONCLUSIONS
ABOUT
MULTI-REPRESENTED
DATA
MINING
219
10.1
SUMMARY
OF
THE
INTRODUCED
TECHNIQUES
.
220
10.2
CONCLUSIONS
ABOUT
MULTI-REPRESENTED
DATA
MINING
.
221
10.2.1
COMPARABILITY
OF
LOCAL
RESULTS
AND
DATA
OBJECTS
.
221
10.2.2
SEMANTICS
OF
THE
REPRESENTATIONS
.
223
IV
CONCLUSIONS
225
11
SUMMARY
AND
FUTURE
WORK
227
11.1
SUMMARY
OF
CONTRIBUTIONS
.
228
11.2
IDEAS
FOR
FUTURE
WORK
.
233
LIST
OF
FIGURES
237
LIST
OF
TABLES
239
REFERENCES
241 |
| any_adam_object | 1 |
| author | Schubert, Matthias 1973- |
| author_GND | (DE-588)129577626 |
| author_facet | Schubert, Matthias 1973- |
| author_role | aut |
| author_sort | Schubert, Matthias 1973- |
| author_variant | m s ms |
| building | Verbundindex |
| bvnumber | BV019761915 |
| ctrlnum | (OCoLC)76600596 (DE-599)BVBBV019761915 |
| discipline | Informatik |
| format | Thesis Book |
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| indexdate | 2024-08-17T00:39:57Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-013088251 |
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| owner_facet | DE-19 DE-BY-UBM DE-12 |
| physical | XII, 256 S. Ill., graph. Darst. 30 cm |
| publishDate | 2004 |
| publishDateSearch | 2004 |
| publishDateSort | 2004 |
| record_format | marc |
| spelling | Schubert, Matthias 1973- Verfasser (DE-588)129577626 aut Advanced data mining techniques for compound objects von Matthias Schubert 2004 XII, 256 S. Ill., graph. Darst. 30 cm txt rdacontent n rdamedia nc rdacarrier München, Univ., Diss., 2004 Data Mining (DE-588)4428654-5 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Data Mining (DE-588)4428654-5 s DE-604 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=013088251&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Schubert, Matthias 1973- Advanced data mining techniques for compound objects Data Mining (DE-588)4428654-5 gnd |
| subject_GND | (DE-588)4428654-5 (DE-588)4113937-9 |
| title | Advanced data mining techniques for compound objects |
| title_auth | Advanced data mining techniques for compound objects |
| title_exact_search | Advanced data mining techniques for compound objects |
| title_full | Advanced data mining techniques for compound objects von Matthias Schubert |
| title_fullStr | Advanced data mining techniques for compound objects von Matthias Schubert |
| title_full_unstemmed | Advanced data mining techniques for compound objects von Matthias Schubert |
| title_short | Advanced data mining techniques for compound objects |
| title_sort | advanced data mining techniques for compound objects |
| topic | Data Mining (DE-588)4428654-5 gnd |
| topic_facet | Data Mining Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=013088251&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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