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Bergmann R., Althoff K.-D., Breen S. — Developing Industrial Case-Based Reasoning Applications
Bergmann R., Althoff K.-D., Breen S. — Developing Industrial Case-Based Reasoning Applications



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Íàçâàíèå: Developing Industrial Case-Based Reasoning Applications

Àâòîðû: Bergmann R., Althoff K.-D., Breen S.

Àííîòàöèÿ:

In just few years, case-based reasoning has evolved from a research topic studied at a small number of specialized academic labs into an industrial-strength technology applied in various fields. The INRECA methodology presented in detail in this monograph provides a data analysis framework for developing case-based reasoning solutions for successful applications in real-world industrial contexts.
The book is divided into parts on:
- smarter business with case-based decision support;
- developing case-based applications using the INRECA methodology; and
- using the methodology in various application domains.
The book provides a self-contained introduction to case-based reasoning applications that address both R&D professionals and general IT managers interested in this powerful new technology.
In this second edition, improvements and updates have been incorporated throughout the text. Particularly useful is the systematic coverage of experience factory applications at various steps; and, of course, the references have been extended substantially.


ßçûê: en

Ðóáðèêà: Computer science/

Ñòàòóñ ïðåäìåòíîãî óêàçàòåëÿ: Ãîòîâ óêàçàòåëü ñ íîìåðàìè ñòðàíèö

ed2k: ed2k stats

Èçäàíèå: 2

Ãîä èçäàíèÿ: 2003

Êîëè÷åñòâî ñòðàíèö: 236

Äîáàâëåíà â êàòàëîã: 02.12.2010

Îïåðàöèè: Ïîëîæèòü íà ïîëêó | Ñêîïèðîâàòü ññûëêó äëÿ ôîðóìà | Ñêîïèðîâàòü ID
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Ïðåäìåòíûé óêàçàòåëü
Acquisition      120—126 130—137 145 147 156 160
Active Server Pages      145
Adaptation      78 121ff
Administrative information      108 111f
Adobe Acrobat      53 144
agents      25 75 91f 100 104 107 110 165
Analog Devices      4 28 35 47—50 55 104 140—142 152 189
Ansaldo      190f
Attribute      21 27—35 39—44 56—58 122f 129 140 142 147 156- 176 180—182
Automotive      14 193 213
Awareness creation      117f
Background knowledge      28 31
banking      14
benefits      15 49 68 75—79 82 86 115 162 174
Bertelsmann      216
biology      14
Bol.com      191f
Business requirements      145—146
Call center      25 79 81 83
CASE      1 2 54—62 76—88 93- 120—161
Case acquisition      21 40—44 94 120- 130 132 136f 145 147 156
Case approval      44
Case base      11 17—24 29—48 56—61 66 76—84 93 121—132 135- 144—149
Case base editor      44
Case buffer      41 44 134
Case maintenance      44
Case query language (CQL)      44
Case structure      31 33 42 141 153
Case-based reasoning      9—33
CASUEL      44 147
Catalog search      4 18 28 35 47—48 74f 139—150
CBR consultant      121 125
CBR cycle      78
CBR engine      28 34 149
CBR experience base      93
CFM International      212
Common generic level      94—100 104
Complex equipment      4 80 153f
Complex method      90 92 102—106 108 111 150
Complex method description sheet      105 110
Conversational CBR      4 19 21—24 25 28 34
Cookbook level      94—96 104 115 133 137
Corporate knowledge      9 11 15 38 74 78 84f
Customer Relationship Management      9—10
Customer service      10 14 62
DaimlerChrysler      2 36—46 133 192
Data Mining      2 9 11 14 20—21
Decision tree      10 20 25 32
Deduction      14
development process      18 49
Diagnosis      119 161 198
Domain model      17—45 77—82 92—93 120—124 130 136 141f 146 153—161
Dynamic induction      20 57 59
electronics      14 47 62 142 155
Embedded electronics      56 59
End-user      60—61 116 118 122 125 128 141 156
End-user training      117
Evaluation      101f 125 129 132 172—174 186
Experience base      88—100 104—106 168f
Experience factory      61—70 88—93
Experience management      70
Expert system      4 16—17 25 39 56
Expert users      120
Fat client      43
fault      11—12 18 24 34 40 57—59 124—125 154—159
Fault isolation manual      12
Fault tree      59 156
features      20—21 27 40 45 122 145
First-level support      25 36
Freightliner      196
Frequently-asked questions      22 23 76
Freya      207
Front office      9—10 15
functional decomposition      157
Generalization      14 98
Gicep Electronique      198
Goal definition      90 117
Graphical User Interface      92 100 106 107
Health care      14
Help-desk      4 15—19 35—47 85 93 101 115—129 135—139
Hierarchical data model      156—161
homer      4 35—47 115 121—123 133—136 192f
Hotline      22 39 47 67 192f
Hotline operator      75
HTML      59 61 106—107 113f 145
IESE      61—70 165—188
Induction      11 14 20 57 59
Information gain      42 45
Information Management System      60
Initial domain      30 34 117 119
Inputproduct      91 104 106 113
INRECA      1—4
INRECA methodology      1—4 11 19 63—188
integrated circuits      47
Integration      60 122 143 148 167
Interfaces      61 87 82 122 145
Internet      4 15—16 31 48 60 77 81—82 105 140
ISO      9000 3 85 95
Java      41 145
Knowledge acquisition      39 45—47 120—132 175 181
Knowledge base      56 74 78 76 155
Knowledge container      123—132
knowledge management      79 82f 118 166
Knowledge repository      37—38 46 115—116 119
Knowledge utilization      126
Knowledge-Based System      167
Legrand      11 199
Line replaceable units      155
Maintenance      12 16 21—46 56 59 60—62 77f 84 87 95 98 101 115—137 176
Managerial processes      101 119 125
Manufacturing      14 16
Marketing automation      10
Measures of Success      74
MET-Ericsson      200f
method      95f 100 102 105—112
Method description      108—112
Method name      109 112
Mobile office      15
Model hierarchy      57 61 157
Model-based reasoning      56
Modified product      106
Multicosm      207
National Semiconductor      202—205
Nearest neighbor retrieval      19
Neckermann      205
Novice users      120
Object structure      27 142
Odense Steel Shipyard      206f
On-board computers      59
Ontology      166f 173 175
Organizational process      101 117- 126
Organizational quality      118
Otto.de      207f
Output product      91 100—106
parametric search      17 48—50 55 140f 189f
PRECISION      22 35 50
Problem description      37—41 46 79- 124—127 155 157 160
Problem-solving      21 36 67 116 120 122 167 182
Process      88—92 99—114
Process description sheet      105f 106—102
Process goal      106
Process model      36 85 88—103 129 132—135 145 157 167 188
Process name      106
Process quality      115 118
PRODUCT      88—92 99—114
Product description sheet      105 108
Product name      106 108
Project management      87
Project name      106 108—109
Project plan      74 87—103 126 129 135 162
project planning      88f 101 103 126 129
Project team      74 117—132
Projectgoal      101 118—119 125 129
PSA Peugeot Citroen      209
Quality control      18 29 33 35 87
Quality improvement paradigm      88- 91 95 99 166f
quality standards      100
Query      9 17 22 28—31 42—44 50- 59 140 143
Rapid prototype      120 129 132
Recall      13 22 35
Recipe      95—99 106—112 115 133- 145 153 161
Recycle      128
Refine      48 128—129 140 150 157f
Reliability analysis      15
Remedy      40 125
Repository      64 167
Requirements      47—50 53 75—77 100f 104 108 121 129—132 139 141 145—146 177ff
Resources      38 91f 100 103 116- 133—136
Retain      36—37 128
Retrieve      11 17 22 28 35 36 45 127 173f
Reuse      3 34—37 47 88—95 98 100 119 122 127—128 135 150 165—188
Revise      36—37 127
Sales      2 4 10—11 15—16 28 47—50 75 81—83 141 145 146—147
Sales automation      10
Sales materials      145
Sales support      15 28
Savings      49 55
Search engine      49—50
Second level support      74
Self-diagnostic      156
Self-service      74 78 81f
Siemens      211f 214
SIMATIC Knowledge Manager      23 211
Similaritiy      28 34—35 54 77 94 110 125f 128f 139 143 149 167 177ff
SIMPLE method      92 102 105—113
Simple method description sheet      115
Smarter business decisions      2 9—10
Snecma Services      212
Software AG      210f
Software engineering      61ff 165ff
Software process modeling      88 91 94 99 103
Specific project level      94f 97 99
SPICE      3 87 95
Stakeholders      169 188
Statistics      4 16
Structural CBR      4 21 26—36
subprocesses      92 102 106 11
System administrator      37 44 78
System development      117—121 135
System guided dynamic induction      20
System implementation      117
System integration      117
System specification      117
System use      59 117 125—127 134-
System verification      117
Technical equipment      115f 154—157
Technical process      100f 116—121 126 136
technical support      9 11—12 15 18 48
Telecommunications      14 213
Testing      12 49 79 101 121 135 148 150
Textual CBR      4 21—23 28 34
TGV      4 35 56—62 156—165
Tool selection      121
Tourist information      202 213
transportation      14 56 62
Transportation market      56
troubleshooting      74 212
Ultrasonography      193
Unconfirmed case      128
User feedback      79f
User guided dynamic induction      20
Utilization process      117 120
Vertical platform      18—19 141 156
Vocabulary      32 120—129
Wartsilae NSD      215
Web interface      144f
Webserver      10 41 61
Worldwide 24/7 support      81
XML      145
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