Tapping into unstructured data: integrating unstructured data and textual analytics into business intelligence
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Upper Saddle River, NJ [u.a.]
Prentice Hall
2008
|
| Ausgabe: | 1. print. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Includes index. |
| Beschreibung: | XIX, 241 S. Ill., graph. Darst. 24 cm |
| ISBN: | 0132360292 9780132360296 |
Internformat
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| 245 | 1 | 0 | |a Tapping into unstructured data |b integrating unstructured data and textual analytics into business intelligence |c William H. Inmon ; Anthony Nesavich |
| 250 | |a 1. print. | ||
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| 300 | |a XIX, 241 S. |b Ill., graph. Darst. |c 24 cm | ||
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| 650 | 4 | |a Data mining | |
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Datensatz im Suchindex
| _version_ | 1804138655413960704 |
|---|---|
| adam_text | Contents at a Glance
Preface xvii
Acknowledgments xx
About the Authors xxi
Chapter 1 ¦ Unstructured Textual Data in the Organization 1
Chapter 2 ¦ The Environments of Structured Data and Unstructured Data 15
Chapter 3 ¦ First Generation Textual Analytics 33
Chapter 4 ¦ Integrating Unstructured Text into the Structured Environment 47
Chapter 5 ¦ Semistructured Data 73
Chapter 6 ¦ Architecture and Textual Analytics 83
Chapter 7 ¦ The Unstructured Database 95
Chapter 8 ¦ Analyzing a Combination of Unstructured Data and Structured Data 113
Chapter 9 ¦ Analyzing Text Through Visualization 127
Chapter 10 ¦ Spreadsheets and Email 135
Chapter 11 ¦ Metadata in Unstructured Data 147
Chapter 12 ¦ A Methodology for Textual Analytics 163
Chapter 13 ¦ Merging Unstructured Databases into the Data Warehouse 175
Chapter 14 ¦ Using SQL to Analyze Text 185
Chapter 15 ¦ Case Study—Textual Analytics in Medical Research 195
Chapter 16 ¦ Case Study-A Database for Harmful Chemicals 203
Chapter 17 ¦ Case Study—Managing Contracts Through an Unstructured Database 209
Chapter 18 ¦ Case Study-Creating a Corporate Taxonomy (Glossary) 215
Chapter 19 ¦ Case Study-Insurance Claims 219
Glossary 227
Index 233
Contents
Preface xvii
Acknowledgments xx
About the Authors xxi
Chapter 1 ¦ Unstructured Textual Data in the Organization 1
Unstructured Textual Data 2
Unstructured Textual Data and Organizational Functions 3
Unstructured Data and Its Characteristics 5
Updating Structured and Unstructured Data 9
The Challenges of Unstructured Textual Data and Analytical Processing 9
The Opportunities of Unstructured Textual Data 11
Summary 13
Chapter 2 ¦ The Environments of Structured Data and Unstructured Data 15
The Structured Environment 15
Databases 17
Speed of Storage, Retrieval 19
The Unstructured Environment 20
Emails 21
Spreadsheets 22
Transcripted Telephone Conversations 23
Medical Records 23
Legal Information 24
tx
Tapping into Unstructured Data
Integrating Unstructured Data and Textual Analytics into Business Intelligence
Corporate Contracts 25
Unstructured Data-Found Everywhere 26
The Analytical Environment 26
Doing Textual Analytics in the Unstructured Environment or the
Structured Environment 28
Bringing Unstructured Data into the Structured Environment 30
Summary 31
Chapter 3 ¦ First Generation Textual Analytics 33
Simplicity 34
Search Engines That Look for Patterns 34
Search Engine—The Hit 35
Where Unstructured Data Resides 35
Searching an Index 36
A Crawler 37
Search Arguments and Schedulers 38
Tagging 38
Searching in Multiple Languages 39
Collecting Output in a Taxonomy 39
Hyperlink References 40
Federated Queries 41
Integration 41
Enhancing the Search Argument 42
Wildcards 42
Boolean Expressions 43
Visualizing Text-First Generation 43
Understanding Context 44
Summary 45
Chapter 4 ¦ Integrating Unstructured Text into the Structured Environment 47
Possibilities of Unstructured Systems 47
Integrating Unstructured Textual Data 50
Reading the Unstructured Textual Data 50
Choosing a File Type 51
Reading Unstructured Data from Voice Recordings 52
Contents
The Importance of Integration 53
Simple Search 53
Indirect Search of Alternate Terms 53
Indirect Search of Related Terms 53
Permutations of Words 54
The Issues of Textual Integration 54
External Categorization 60
Simple Integration Applications 61
Examining the Contents of Existing Unstructured Data 61
Enterprise Metadata Repository 62
Customer Communications 62
The Resulting Architecture 64
Choosing the Best Types of Integration 65
Ways in Which Integration Occurs 66
Performance Limitations 66
Disadvantages to Integration 69
Summary 70
Chapter 5 ¦ Semistructured Data 73
The Many Forms of Semistructured Data 74
Common Patterns of Data 75
Prefacing Values 76
Default Values 77
Conflicting Values 77
The Degree of Accuracy 78
Preprocessing Semistructured Data 79
Variable Output 80
Semistructured Processing in an Unstructured Environment 81
Preparation Time 82
Summary 82
Chapter 6 ¦ Architecture and Textual Analytics 83
The Growth of Information Systems 83
The Maturing Need for Information 84
The Need for Data Integrity 86
Tapping into Unstructured Data
xii Integrating Unstructured Data and Textual Analytics into Business Intelligence
The Need to Include Unstructured Data 87
A Fundamental Difference 88
First Generation of Analytical Processing 89
The Second Generation of Textual Analytics 8 9
DW 2.0-Data Warehouse Architecture 91
Summary 93
Chapter 7 ¦ The Unstructured Database 95
The General Flow of Data 96
Preventing a Blob of Unstructured Data 9 6
A Partial Relational Table 97
A Document/Word Table 98
The Key of the Relational Table 98
Different Indexes 99
Indexing Semistructured Data 100
Indexes for Both Semistructured and Unstructured Data 100
Managing Large Volumes of Data 101
Bring Everything into the Structured Environment 102
Selectively Storing Terms 103
Simple Pointer 104
Moving the Underlying Document 104
Alternatives to Moved Documents 105
Synonyms and Homographs 105
External Categories 106
Using the Unstructured Database for Analysis 108
Access Through a Standard SQL Interface 108
The High Level Design 109
Accessing Multiple Tables 109
Hot Data III
Summary 111
Chapter 8 ¦ Analyzing a Combination of Unstructured Data
and Structured Data 113
Intersecting Structured and Unstructured Data 114
Linking Communications 114
Other Types of Linkages 116
Contents xiii
A Probabilistic Link 116
Dynamic and Static Links 117
Accessing Linkages 118
Periodically Monitoring Linkage 119
Independently Processing the Static Link 120
A Join Based on the Link 120
Submitting Real-Time Online Queries 122
Enhancing Performance Through Priority Ranking 122
Filtering Data Based on Probability of Access 123
Looking at Links Partially 124
Unstructured Text and Future Capabilities 124
Summary 125
Chapter 9 ¦ Analyzing Text Through Visualization 127
Creating a Textual Visualization 128
Selecting Homogeneous Data 128
Integrating the Text 129
Creating a Database Format 130
Creating the Visualization 130
Other Types ofSOMs 131
Iterative Development of the Visualization 131
Analytical Activities 132
Recasting a SOM Visualization 132
Creating a SOM for Semistructured Data 133
Summary 134
Chapter 10 ¦ Spreadsheets and Email 135
The Challenges of Spreadsheets 135
Strategies for Access 137
A Unique Spreadsheet Identifier 138
Unstructured Data in the Spreadsheet 138
Identifying Cells 140
Cross Equivalency 141
Global Spreadsheet Analysis 142
Tapping into Unstructured Data
xiv Integrating Unstructured Data and Textual Analytics into Business Intelligence
Emails 143
Screening Emails for Useful Data 144
Collecting Customer Communications 145
Summary 146
Chapter 11 ¦ Metadata in Unstructured Data 147
Metadata in the Unstructured Environment 147
Internal Metadata 148
External Metadata. 149
Approaching Metadata Through the Data Model 150
The Basis for the Data Model 150
The Levels of the Data Model 152
How the Components Relate- The Larger Perspective 153
Two Types of Data Model—External and Internal 154
How Is the Internal Data Model Created? 155
Creating the External Data Model 156
Using Generic Data Models 156
The Corporate Glossary 158
Corporate Taxonomy 159
Corporate Ontology 159
The Role of the Data Model 160
Data Quality in the Unstructured Environment 161
Summary 162
Chapter 12 - A Methodology for Textual Analytics 163
Preparing the Basic Components 163
Specifying the Processing 167
Organizing the Source Data 168
Analyzing the Results 170
Summary 173
Chapter 13 - Merging Unstructured Databases into the Data Warehouse 175
The Date Warehouse 176
Linking Databases 176
Communications-Based Linkage Between Unstructured and Structured Data 177
Identifier-Based Linkage Between Unstructured and Structured Data 178
Contents xv
An Integrated Data Warehouse 179
Multi-Database Linkage 179
ETL for Unstructured Data 180
Housing Databases in DBMS Technology 180
Binding the Databases Together 181
Federated Analytical Technology 182
Simple Queries 182
Summary 184
Chapter 14 Using SQL to Analyze Text 185
A Simple Query 187
Indirect Query 189
Proximity Search 191
Basic Word String Snippet Report 192
Summary 194
Chapter 15 ¦ Case Study—Textual Analytics in Medical Research 195
Medical Records 195
The Cardiology Study 196
The Challenge of Terminology 196
Volumes of Data 197
Revealing a Strategy 197
The First Iteration 198
The Second Iteration 198
The Third Iteration 199
Fourth Iteration 200
Fifth Iteration 200
Textual Analytics 200
Standard Analytical Tools 201
Chapter 16 ¦ Case Study—A Database for Harmful Chemicals 203
The Institution s Data on Harmful Chemicals 203
An Abundance of Paper Reports 204
XVI
Tapping into Unstructured Data
Integrating Unstructured Data and Textual Analytics into Business Intelligence
A Request for Analyses Leading to the Requirement for Storing Data
Electronically 204
Putting Paper Data in an Electronic Format 205
Creating the Standard Set of Reference Tables 205
Text Editing and Integration 206
Textual Analytics 206
Periodic Additions 208
Chapter 17 ¦ Case Study—Managing Contracts Through an
Unstructured Database 209
A Hodgepodge of Contracts 209
A Plan for Textual Analytics 210
Iterative Development 211
Analytical Processing 212
Chapter 18 ¦ Case Study—Creating a Corporate Taxonomy (Glossary) 215
A Technological Jumble 215
The IT Problem 216
The Issue of Terminology 217
Creating a Corporate Taxonomy (Glossary) 217
Creating Definitions and Equivocations 218
Using the Taxonomy 218
Chapter 19 ¦ Case Study—Insurance Claims 219
A Collection of Inconsistent Claims 219
A Wealth of Information 220
Creating the Integrated Data Warehouse 221
First Iteration 221
Second Iteration 223
Third Iteration 223
Fourth Iteration 224
Glossary 227
Index 233
|
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| indexdate | 2024-07-09T21:31:38Z |
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| isbn | 0132360292 9780132360296 |
| language | English |
| lccn | 2007040548 |
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| spelling | Inmon, William H. 1945- Verfasser (DE-588)113317662 aut Tapping into unstructured data integrating unstructured data and textual analytics into business intelligence William H. Inmon ; Anthony Nesavich 1. print. Upper Saddle River, NJ [u.a.] Prentice Hall 2008 XIX, 241 S. Ill., graph. Darst. 24 cm txt rdacontent n rdamedia nc rdacarrier Includes index. Business intelligence Data mining Management information systems Data warehousing Betriebliches Informationssystem (DE-588)4069386-7 gnd rswk-swf Data-Warehouse-Konzept (DE-588)4406462-7 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Business Intelligence (DE-588)4588307-5 gnd rswk-swf Data Mining (DE-588)4428654-5 s Data-Warehouse-Konzept (DE-588)4406462-7 s Betriebliches Informationssystem (DE-588)4069386-7 s Business Intelligence (DE-588)4588307-5 s DE-604 Nesavich, Anthony Verfasser aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017144005&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Inmon, William H. 1945- Nesavich, Anthony Tapping into unstructured data integrating unstructured data and textual analytics into business intelligence Business intelligence Data mining Management information systems Data warehousing Betriebliches Informationssystem (DE-588)4069386-7 gnd Data-Warehouse-Konzept (DE-588)4406462-7 gnd Data Mining (DE-588)4428654-5 gnd Business Intelligence (DE-588)4588307-5 gnd |
| subject_GND | (DE-588)4069386-7 (DE-588)4406462-7 (DE-588)4428654-5 (DE-588)4588307-5 |
| title | Tapping into unstructured data integrating unstructured data and textual analytics into business intelligence |
| title_auth | Tapping into unstructured data integrating unstructured data and textual analytics into business intelligence |
| title_exact_search | Tapping into unstructured data integrating unstructured data and textual analytics into business intelligence |
| title_full | Tapping into unstructured data integrating unstructured data and textual analytics into business intelligence William H. Inmon ; Anthony Nesavich |
| title_fullStr | Tapping into unstructured data integrating unstructured data and textual analytics into business intelligence William H. Inmon ; Anthony Nesavich |
| title_full_unstemmed | Tapping into unstructured data integrating unstructured data and textual analytics into business intelligence William H. Inmon ; Anthony Nesavich |
| title_short | Tapping into unstructured data |
| title_sort | tapping into unstructured data integrating unstructured data and textual analytics into business intelligence |
| title_sub | integrating unstructured data and textual analytics into business intelligence |
| topic | Business intelligence Data mining Management information systems Data warehousing Betriebliches Informationssystem (DE-588)4069386-7 gnd Data-Warehouse-Konzept (DE-588)4406462-7 gnd Data Mining (DE-588)4428654-5 gnd Business Intelligence (DE-588)4588307-5 gnd |
| topic_facet | Business intelligence Data mining Management information systems Data warehousing Betriebliches Informationssystem Data-Warehouse-Konzept Data Mining Business Intelligence |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017144005&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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