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Chapter 6
Figure 6-1
Specifying missing values for a continuous variable
Reading in mixed data.
Note that when y ou are reading in fields with numeric storage (either
integer, real, time, timest amp, or date), any non-numeric values are set to null or system missing.
This is because, unlike some applications, does not allow mixed storage types within a field. To
avoid this, any fields with mix ed data should be read in as strings by changing the storage type in
the source node or exter nal application as necessa r y.
Reading empty strings from Oracle.
When reading from or writing to an Oracle database, be aware
that, unlike SPSS Modeler and unlike most othe r databases, Or acle treats and store s empty string
values as equivalent to null values. This means that the s ame data extracted from an Oracle
database may behave differently than when extracted from a file or another database, and the data
may return different results .
Handling Missing Values
You should decide how to treat missing values in li ght of your business or domain knowledge. To
ease training time and increase accuracy, you may w an t to remove blanks from your d ata set. On
the ot
her hand, the pres ence of blan k values may lea d to new business opp ortuniti es or a dditional
insights. In choosing the best technique, you should consider the following aspects of your data:
Size of the data set
Number of fields containing blanks
Amount of missing inf ormation
- About IBM Bu 3
- Contents 4
- 4 Understandin 5
- 5 Building Streams 41 5
- 6 Handling Missing Values 99 5
- 8 CLEM Language Reference 127 6
- 10 Exporting to E 8
- 11 Projects and Reports 200 8
- Appendices 9
- B Unicode Support 248 9
- C Notices 249 10
- Index 252 10
- About IBM SPSS Modeler 11
- Chapter 1 12
- IBM SPSS Modeler Editions 13
- Application Examples 15
- Demos Folder 16
- New Features 17
- Chapter 2 18
- New Nodes in This Release 20
- IBM SPSS Modeler Premium 21
- IBM SPSS Modeler Overview 22
- Changing the Temp Directory 26
- -noshare 27
- Nodes Palette 28
- IBM SPSS Modeler Managers 29
- IBM SPSS Modeler Projects 30
- IBM SPSS Modeler Toolbar 31
- Chapter 3 32
- Customizing the Toolbar 33
- Using Shortcut Keys 36
- Printing 37
- Automating IBM SPSS Modeler 37
- Understanding Data Mining 39
- Assessing the Data 40
- Beware of noisy data 41
- A Strategy for Data Mining 42
- The CRISP-DM Process Model 42
- Types of Models 44
- Classification nodes 45
- Chapter 4 46
- Association Models 47
- Segmentation Models 48
- In-Database Mining Models 49
- IBM SPSS Statistics Models 49
- Further Information 49
- Data Mining Examples 50
- Building Streams 51
- Working with Nodes 52
- Adding Nodes to a Stream 53
- Connecting Nodes in a Stream 53
- To Manually Connect Nodes 54
- Bypassing Nodes in a Stream 55
- Disabling Nodes in a Stream 56
- Setting Options for Nodes 58
- Caching Options for Nodes 60
- Previewing Data in Nodes 62
- Working with Streams 63
- Setting Options for Streams 64
- Logging and status 65
- To Set Stream Options 65
- Decimal symbol 66
- Grouping symbol 66
- Encoding 66
- Ruleset Evaluation 66
- Figure 5-16 67
- Import date/time as 68
- Date format 68
- Time format 68
- Rollover days/mins 68
- Date baseline (1st Jan) 68
- Setting numb 69
- Calculations in 70
- Save As Default 70
- Enable stream rewriting 71
- Optimize SQL generation 71
- Display SQL 73
- Show status for records 74
- Minimum stream canvas width 74
- Minimum stream canvas height 74
- Chapter 5 76
- Figure 5-22 76
- Viewing Node Execution Times 77
- Terminal Node 78
- Node Label 78
- Node Id 78
- Execution Time(s) 78
- Turn off these prompts 80
- Globals available 82
- Node label contains 83
- Stream Descriptions 84
- General Stream Information 85
- Description and Comments 85
- Scoring Information 85
- Comments 85
- Running Streams 87
- Working with Models 88
- Operations Involving Comments 91
- To edit an existing comment 92
- To resize a comment text box 93
- To move an existing comment 93
- To delete a comment 93
- Listing Stream Comments 94
- Positioning buttons 95
- Comment Colors 95
- Annotations 96
- Tooltip text 97
- Keywords 97
- Saving Data Streams 98
- Saving Output 99
- Loading Files 100
- Mapping Data Streams 101
- Mapping Data to a Template 102
- Step 4: Check mapped fields 103
- Mapping between Streams 104
- Specifying Essential Fields 104
- Examining Mapped Fields 105
- Tips and Shortcuts 106
- Browse for files quickly 107
- Did you know that you can 108
- Handling Missing Values 109
- Field Measurement Level 111
- Numeric fields 111
- Categorical fields 111
- Screening or Removing Fields 112
- Expression 112
- Algorithm 112
- Note on Discarding Records 114
- Building CLEM Expressions 115
- CLEM exp 116
- Figure 7-2 117
- CLEM Examples 118
- Complex Expressions 119
- Special Functions 119
- Values and Data Types 120
- Expressions and Conditions 121
- Working with Strings 122
- Working with Numbers 124
- Working with Times and Dates 124
- Summarizing Multiple Fields 125
- Numeric Functions 126
- Generating Lists of Fields 126
- The Expression Builder 127
- Chapter 7 128
- Figure 7-5 128
- Expression Builder dialog box 128
- Creating Expressions 129
- Selecting Functions 130
- Multiple-response sets 131
- Recently used 131
- Parameters 131
- Global values 131
- Viewing or Selecting Values 132
- Find and Replace 133
- Matching Character Classes 135
- Predefined Character Classes 135
- Boundary Matches 135
- Boundary matchers Matches 136
- \z The end of the input 136
- CLEM Language Reference 137
- Integers 138
- Characters 138
- Chapter 8 140
- CLEM Operators 141
- Operator Precedence 142
- Functions Reference 143
- Information Functions 144
- Conversion Functions 145
- Comparison Functions 145
- Logical Functions 147
- Trigonometr 149
- Probability Functions 149
- Bitwise Integer Operations 150
- Random Functions 151
- String Functions 151
- SoundEx Functions 156
- Date and Time Functions 156
- Sequence Functions 160
- Examples 161
- Global Functions 165
- Special Fields 167
- Using IBM SPSS Modeler with a 168
- Repository 168
- Single Sign-On 169
- Connecting to the Repository 171
- Ensure secure connection 172
- User ID and password 172
- Provider 172
- Figure 9-4 173
- Setting Object Properties 174
- Save in 175
- File name 175
- Principal 178
- Permissions 178
- Select provider 179
- User list 179
- Storing Streams 180
- Storing Projects 180
- Storing Nodes 181
- Storing Output Objects 181
- Storing a model 182
- Storing a Models palette 182
- Selecting an Object Version 184
- Searching by Name 185
- Searching by Other Criteria 186
- Object Types 186
- Streams 186
- Modifying Repository Objects 187
- Deleting Repository Objects 188
- Viewing Folder Properties 189
- Version 192
- Edit Labels 192
- Permissions Tab 192
- Users And Groups 193
- To apply labels to the object 193
- Deploying Streams 194
- Stream Deployment Options 195
- Deployment type 196
- The Scoring Branch 198
- Model Refresh 200
- Single Model in Stream 201
- Multiple Models in Stream 201
- No Models in Stream 204
- To Export a Model 206
- Model Types Supporting PMML 208
- Database native models 209
- PMML Import 209
- Projects and Reports 210
- CRISP-DM View 211
- Building a Project 212
- Adding to a Project 213
- Setting Project Properties 215
- Annotating a Project 216
- To annotate a folder: 217
- Object Properties 218
- Generating a 219
- To generate a report: 220
- Output name 221
- Output to screen 221
- Output to file 221
- Filename 221
- Saving and 222
- Exporting Generated Reports 222
- Chapter 11 224
- Figure 11-11 224
- Customizing IBM SPSS Modeler 225
- Setting Default Directories 226
- Setting User Options 227
- Setting Display Options 230
- Setting PMML Export Options 231
- Export PMML 232
- Standard PMML Options 232
- User/Author Information 232
- Customizing the Nodes Palette 233
- Palette Name 234
- No. of nodes 234
- Sub Palettes 234
- Restore Defaults 234
- Creating a Palette Tab 235
- Creating a Subpalette 237
- Changing a Palette Tab View 238
- CEMI Node Management 239
- Streams and N 240
- Node Caches 241
- To Enable a Cache 242
- Caching Nodes in a Database 242
- Performance 243
- : Process Nodes 243
- Performance: Modeling Nodes 244
- Performance: CLEM Expressions 244
- Appendix 246
- Accessibility for Blind Users 247
- Keyboard Accessibility 248
- Node and Stream Shortcuts 249
- Appendix A 250
- Table Shortcuts 251
- Shortcuts for Comments 252
- Cluster Viewer only 253
- Start SPSS Modeler 253
- Ctrl+Down Arrow 253
- Right Arrow 253
- Using a Screen Reader 255
- Tips for Use 256
- Interferenc 257
- JAWS and Java 257
- Unicode Support 258
- Trademarks 260
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