Knowledge extraction from databases: using available data more efficiently through multi-events
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | German |
| Veröffentlicht: |
Sankt Augustin
Infix
1997
|
| Schriftenreihe: | Dissertationen zur künstlichen Intelligenz
168 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Zugl.: Bremen, Univ., Diss., 1997 |
| Beschreibung: | XIV, 102 S. |
| ISBN: | 3896011685 |
Internformat
MARC
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|---|---|---|---|
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| 003 | DE-604 | ||
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| 008 | 970915s1997 gw m||| 00||| ger d | ||
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| 100 | 1 | |a Rummel, Alex |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Knowledge extraction from databases |b using available data more efficiently through multi-events |c Alex Rummel |
| 264 | 1 | |a Sankt Augustin |b Infix |c 1997 | |
| 300 | |a XIV, 102 S. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Dissertationen zur künstlichen Intelligenz |v 168 | |
| 500 | |a Zugl.: Bremen, Univ., Diss., 1997 | ||
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| 830 | 0 | |a Dissertationen zur künstlichen Intelligenz |v 168 |w (DE-604)BV005345280 |9 168 | |
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| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-007773008 | |
Datensatz im Suchindex
| _version_ | 1807773446863585280 |
|---|---|
| adam_text |
TABLE
OF
CONTENTS
LIST
OF
FIGURES
.
III
LIST
OF
TABLES
.
IV
1
INTRODUCTION
.
1
1.1
D
ATA
MINING
.
2
1.2
F
ROM
DATA
MINING
TO
KNOWLEDGE
DISCOVERY
IN
DATABASES
.
3
1.3
T
HE
FOCUS
OF
THIS
WORK
.
4
1.4
A
N
OVERVIEW
OF
THE
WORK
.
7
2
A
BROAD
LEARNING
MODEL
.
9
2.1
A
MODEL
FOR
A
LEARNING
SYSTEM
.
10
2.1.1
REPRESENTATIONAL
COMPONENTS
OF
THE
MODEL
.
11
2.1.1.1
THE
EXPERIENCE
COMPONENT
.
11
2.1.1.2
THE
KNOWLEDGE
BASE
.
11
2.1.1.3
THE
ENVIRONMENT
COMPONENT
.
12
2.1.2
FUNCTIONAL
COMPONENTS
OF
THE
MODEL
.
13
2.1.2.1
THE
LEARNING
COMPONENT
.
13
2.1.2.2
THE
EXPERIENCE
GENERATOR
.
13
2.1.2.3
THE
EVALUATION
COMPONENT
.
13
2.2
A
N
EXAMPLE
:
D
IAGNOSIS
&
THERAPY
.
13
2.3
T
HE
LEARNING
MODEL
FOR
SYNTHETIC
LEARNING
.
15
2.3.1
INCREMENTAL
AND
NON-INCREMENTAL
LEARNING
.
18
2.3.2
SYMBOLIC
INDUCTIVE
LEARNING
.
18
2.4
A
STATE
-
OF
-
THE
-
ART
ALGORITHM
:
Q
UINLAN
'
S
C4.5
.
20
2.4.1
THE
BASIC
ALGORITHM
.
21
2.4.2
THE
FORM-TREE
PROCEDURE
.
22
2.4.3
THE
GROW
PROCEDURE
.
24
2.4.4
THE
PRUNE
PROCEDURE
.
25
2.4.5
MISSING
VALUES
AND
NOISE
.
25
2.4.6
FROM
TREES
TO
RULES
.
25
3
MULTI-EVENTS
.27
3.1
T
HE
TRADITIONAL
PROCESSING
OF
DATA
.
28
3.2
P
ROCESSING
MULTI
-
EVENTS
.
32
3.2.1
ORDERED
AND
UNORDERED
MULTI-EVENTS
.
32
3.2.2
A
DATA-DRIVEN
APPROACH:
ENTROPY-BASED
GROUPING
.
34
3.2.3
A
KNOWLEDGE-BASED
APPROACH
.
35
3.2.3.1
K-MEANS
CLUSTERING
.
36
3.2.3
2
LEARNING
VECTOR
QUANTISATION
(LVQ)
.
38
3.3
I
NTEGRATION
OF
KNOWLEDGE
.
39
3.3.1
KNOWLEDGE
AND
REPRESENTATION
OF
MULTI-EVENTS
.
40
3.3.2
KNOWLEDGE
AND
DISTANCE
AND
SIMILARITY
MEASURES
.
40
3.3.3
TRANSLATION
INVARIANCE
IN
DISTANCE
MEASURES
.
44
3.3.4
USING
COMBINATIONS
OF
DISTANCE
MEASURES
.
45
3.4
P
ROCESSING
OF
MISSING
VALUES
.
45
3.4.1
MISSING
VALUES
.
46
3.4.2
MISSING
VALUES
IN
MULTI-EVENTS
.
46
3.4.3
A
MODIFIED
LEARNING
MODEL
FOR
THE
SUPPORT
OF
MULTI-EVENTS
.
47
3.5
ADSEQ-A
N
ALGORITHM
FOR
DATA
SEQUENCES
.
48
3.5.1
INTEGRATION
OF
MULTI-EVENTS
INTO
INDUCTIVE
LEARNING
.
50
3.5.11
INTEGRATION
OF
DATA
AND
KNOWLEDGE.
.
50
3.5.1.2
DETERMINING
CLUSTERS
.
51
II
TABLE
OF
CONTENTS
3.5
1.3
DETECTING
THE
BEST
NUMBER
OF
CLUSTERS
.
51
3.5.2
AN
EXAMPLE:
A
ONE
ATTRIBUTE
DOMAIN
.
53
3.5.3
INTERPRETATION
AND
COMPREHENSION
OF
MULTI-EVENTS
.
54
3.5.4
COMPLEXITY
OFADSEQ
.
54
3.5.5
CONSISTENCY
OFADSEQ
.
56
4
APPLICATION
IN
THE
HELD
OF
HIV
.
59
4.1
HIV
AND
THE
IMMUNE
SYSTEM
.
59
4.1.1
THE
LIFE
CYCLE
OF
HIV
.
60
4.1.2THERAPIESTOHIV
.
61
4.2
HIV
IN
S
OUTH
A
FRICA
.
62
4.3
A
GENERAL
DESCRIPTION
OF
THE
DATABASE
.
63
4.4
T
HE
HIV-D
AT
ABASE
.
64
45
H
YPOTHESIS
:
P
REDICTION
OF
CD4
COUNTS
.
66
4.6
E
VALUATION
OF
RESULTS
.
70
4.6.1
EVALUATION
FROM
THE
MEDICAL
PERSPECTIVE
.
70
4.6.2
EVALUATION
FROM
THE
LEARNING
PERSPECTIVE
.
70
4.7
S
UMMARY
.
72
5
APPLICATION
IN
THE
FIELD
OF
BREAST
CANCER
.
73
5.1
U
NDERSTANDING
BREAST
CANCER
.
73
5.2
T
HE
ANATOMY
OF
THE
BREAST.
.
74
5.2.1
THE
DIAGNOSIS
OF
BREAST
CANCER
.
75
5.2.2
TREATMENT
OF
BREAST
CANCER
.
76
53
A
GENERAL
DESCRIPTION
OF
THE
DATABASE
.
78
5.4
T
HE
BREAST
CANCER
DATABASE
.
79
55
H
YPOTHESIS
:
T
OWARDS
IMPROVING
THE
LIFE
QUALITY
OF
PATIENTS
.
80
5.6
E
VALUATION
OF
RESULTS
.
84
5.6.1
EVALUATION
FROM
THE
MEDICAL
PERSPECTIVE
.
84
5.6.2
EVALUATION
FROM
THE
LEARNING
PERSPECTIVE
.
84
5.7
S
UMMARY
.
86
6
CONCLUSIONS
.
87
6.1
E
VALUATING
THE
PROCESSING
SCHEME
FOR
MULTI
-
EVENTS
.
88
6.2
C
OMPREHENSION
AND
MULTI
-
EVENTS
.
89
6.3
C
URRENT
LIMITATIONS
.
90
6.4
F
UTURE
WORK
.
91
6.4.1
GENERAL
IMPROVEMENTS
.
91
6.4.2
MAKING
THE
MOST
OF
AVAILABLE
INFORMATION
.
91
REFERENCES
.
95
INDEX
101 |
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| author | Rummel, Alex |
| author_facet | Rummel, Alex |
| author_role | aut |
| author_sort | Rummel, Alex |
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| id | DE-604.BV011545833 |
| illustrated | Not Illustrated |
| indexdate | 2024-08-19T00:25:05Z |
| institution | BVB |
| isbn | 3896011685 |
| language | German |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-007773008 |
| oclc_num | 40302685 |
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| owner_facet | DE-91G DE-BY-TUM DE-739 DE-29T |
| physical | XIV, 102 S. |
| publishDate | 1997 |
| publishDateSearch | 1997 |
| publishDateSort | 1997 |
| publisher | Infix |
| record_format | marc |
| series | Dissertationen zur künstlichen Intelligenz |
| series2 | Dissertationen zur künstlichen Intelligenz |
| spelling | Rummel, Alex Verfasser aut Knowledge extraction from databases using available data more efficiently through multi-events Alex Rummel Sankt Augustin Infix 1997 XIV, 102 S. txt rdacontent n rdamedia nc rdacarrier Dissertationen zur künstlichen Intelligenz 168 Zugl.: Bremen, Univ., Diss., 1997 Wissensextraktion (DE-588)4546354-2 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Wissensextraktion (DE-588)4546354-2 s DE-604 Dissertationen zur künstlichen Intelligenz 168 (DE-604)BV005345280 168 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007773008&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Rummel, Alex Knowledge extraction from databases using available data more efficiently through multi-events Dissertationen zur künstlichen Intelligenz Wissensextraktion (DE-588)4546354-2 gnd |
| subject_GND | (DE-588)4546354-2 (DE-588)4113937-9 |
| title | Knowledge extraction from databases using available data more efficiently through multi-events |
| title_auth | Knowledge extraction from databases using available data more efficiently through multi-events |
| title_exact_search | Knowledge extraction from databases using available data more efficiently through multi-events |
| title_full | Knowledge extraction from databases using available data more efficiently through multi-events Alex Rummel |
| title_fullStr | Knowledge extraction from databases using available data more efficiently through multi-events Alex Rummel |
| title_full_unstemmed | Knowledge extraction from databases using available data more efficiently through multi-events Alex Rummel |
| title_short | Knowledge extraction from databases |
| title_sort | knowledge extraction from databases using available data more efficiently through multi events |
| title_sub | using available data more efficiently through multi-events |
| topic | Wissensextraktion (DE-588)4546354-2 gnd |
| topic_facet | Wissensextraktion Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007773008&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV005345280 |
| work_keys_str_mv | AT rummelalex knowledgeextractionfromdatabasesusingavailabledatamoreefficientlythroughmultievents |