Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
IBM SPSS modeler cookbook / / Keith McCormick [and four others]
| IBM SPSS modeler cookbook / / Keith McCormick [and four others] |
| Autore | McCormick Keith |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham : , : Packt Publishing, , [2013] |
| Descrizione fisica | 1 online resource (382 p.) |
| Disciplina | 005.478 |
| Soggetto topico |
Data mining
Database management |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-84968-547-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""Cover""; ""Copyright""; ""Credits""; ""Foreword""; ""About the Authors""; ""About the Reviewers""; ""www.PacktPub.com""; ""Table of Contents""; ""Preface""; ""Chapter 1: Data Understanding""; ""Introduction""; ""Using an empty aggregate to evaluate sample size ""; ""Evaluating the need to sample from the initial data""; ""Using CHAID stumps when interviewing an SME""; ""Using a single cluster K-means as an alternative to anomaly detection""; ""Using an @NULL multiple Derive to explore missing data""; ""Creating an outlier report to give to SMEs""
""Detecting potential model instability early using the Partition node and Feature Selection""""Chapter 2: Data Preparation � Select""; ""Introduction""; ""Using the Feature Selection node creatively to remove, or decapitate, perfect predictors""; ""Running a Statistics node on anti-join to evaluate potential missing data""; ""Evaluating the use of sampling for speed""; ""Removing redundant variables using correlation matrices""; ""Selecting variable using the CHAID modeling node""; ""Selecting variables using the Means node"" ""Selecting variables using single-antecedent association rules""""Chapter 3: Data Preparation � Clean""; ""Introduction""; ""Binning scale variables to address missing data""; ""Using a full data model/partial data model approach to address missing data""; ""Imputing in-stream mean or median""; ""Imputing missing values randomly from uniform or normal distributions""; ""Using random imputation to match a variable's distribution""; ""Searching for similar records using a neural network for inexact matching""; ""Using neuro-fuzzy searching to find similar names"" ""Producing longer Soundex codes""""Chapter 4: Data Preparation � Construct""; ""Introduction""; ""Building transformations with multiple Derive nodes""; ""Calculating and comparing conversion rates""; ""Grouping categorical values""; ""Transforming high skew and kurtosis variables with a multiple Derive node""; ""Creating flag variables for aggregation""; ""Using Association Rules for interaction detection/feature creation""; ""Creating time-aligned cohorts""; ""Chapter 5: Data Preparation � Integrate and Format""; ""Introduction"" ""Speeding up merge with caching and optimization settings""""Merging a look-up table""; ""Shuffle-down (nonstandard aggregation)""; ""Cartesian product merge using key-less merge by key""; ""Multiplying out using Cartesian product merge, user source, and derive dummy""; ""Changing large numbers of variable names without scripting""; ""Parsing nonstandard dates""; ""Parsing and performing a conversion on a complex stream""; ""Sequence processing""; ""Chapter 6: Selecting and Building a Model""; ""Introduction""; ""Evaluating balancing with the Auto Classifier"" ""Building models with and without outliers"" |
| Record Nr. | UNINA-9910453495903321 |
McCormick Keith
|
||
| Birmingham : , : Packt Publishing, , [2013] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
IBM SPSS modeler cookbook / / Keith McCormick [and four others]
| IBM SPSS modeler cookbook / / Keith McCormick [and four others] |
| Autore | McCormick Keith |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham : , : Packt Publishing, , [2013] |
| Descrizione fisica | 1 online resource (382 p.) |
| Disciplina | 005.478 |
| Soggetto topico |
Data mining
Database management |
| ISBN | 1-84968-547-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""Cover""; ""Copyright""; ""Credits""; ""Foreword""; ""About the Authors""; ""About the Reviewers""; ""www.PacktPub.com""; ""Table of Contents""; ""Preface""; ""Chapter 1: Data Understanding""; ""Introduction""; ""Using an empty aggregate to evaluate sample size ""; ""Evaluating the need to sample from the initial data""; ""Using CHAID stumps when interviewing an SME""; ""Using a single cluster K-means as an alternative to anomaly detection""; ""Using an @NULL multiple Derive to explore missing data""; ""Creating an outlier report to give to SMEs""
""Detecting potential model instability early using the Partition node and Feature Selection""""Chapter 2: Data Preparation � Select""; ""Introduction""; ""Using the Feature Selection node creatively to remove, or decapitate, perfect predictors""; ""Running a Statistics node on anti-join to evaluate potential missing data""; ""Evaluating the use of sampling for speed""; ""Removing redundant variables using correlation matrices""; ""Selecting variable using the CHAID modeling node""; ""Selecting variables using the Means node"" ""Selecting variables using single-antecedent association rules""""Chapter 3: Data Preparation � Clean""; ""Introduction""; ""Binning scale variables to address missing data""; ""Using a full data model/partial data model approach to address missing data""; ""Imputing in-stream mean or median""; ""Imputing missing values randomly from uniform or normal distributions""; ""Using random imputation to match a variable's distribution""; ""Searching for similar records using a neural network for inexact matching""; ""Using neuro-fuzzy searching to find similar names"" ""Producing longer Soundex codes""""Chapter 4: Data Preparation � Construct""; ""Introduction""; ""Building transformations with multiple Derive nodes""; ""Calculating and comparing conversion rates""; ""Grouping categorical values""; ""Transforming high skew and kurtosis variables with a multiple Derive node""; ""Creating flag variables for aggregation""; ""Using Association Rules for interaction detection/feature creation""; ""Creating time-aligned cohorts""; ""Chapter 5: Data Preparation � Integrate and Format""; ""Introduction"" ""Speeding up merge with caching and optimization settings""""Merging a look-up table""; ""Shuffle-down (nonstandard aggregation)""; ""Cartesian product merge using key-less merge by key""; ""Multiplying out using Cartesian product merge, user source, and derive dummy""; ""Changing large numbers of variable names without scripting""; ""Parsing nonstandard dates""; ""Parsing and performing a conversion on a complex stream""; ""Sequence processing""; ""Chapter 6: Selecting and Building a Model""; ""Introduction""; ""Evaluating balancing with the Auto Classifier"" ""Building models with and without outliers"" |
| Record Nr. | UNINA-9910790502403321 |
|
McCormick Keith
|
||
| Birmingham : , : Packt Publishing, , [2013] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
IBM SPSS modeler cookbook / / Keith McCormick [and four others]
| IBM SPSS modeler cookbook / / Keith McCormick [and four others] |
| Autore | McCormick Keith |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Birmingham : , : Packt Publishing, , [2013] |
| Descrizione fisica | 1 online resource (382 p.) |
| Disciplina | 005.478 |
| Soggetto topico |
Data mining
Database management |
| ISBN |
9781849685474
1849685479 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""Cover""; ""Copyright""; ""Credits""; ""Foreword""; ""About the Authors""; ""About the Reviewers""; ""www.PacktPub.com""; ""Table of Contents""; ""Preface""; ""Chapter 1: Data Understanding""; ""Introduction""; ""Using an empty aggregate to evaluate sample size ""; ""Evaluating the need to sample from the initial data""; ""Using CHAID stumps when interviewing an SME""; ""Using a single cluster K-means as an alternative to anomaly detection""; ""Using an @NULL multiple Derive to explore missing data""; ""Creating an outlier report to give to SMEs""
""Detecting potential model instability early using the Partition node and Feature Selection""""Chapter 2: Data Preparation � Select""; ""Introduction""; ""Using the Feature Selection node creatively to remove, or decapitate, perfect predictors""; ""Running a Statistics node on anti-join to evaluate potential missing data""; ""Evaluating the use of sampling for speed""; ""Removing redundant variables using correlation matrices""; ""Selecting variable using the CHAID modeling node""; ""Selecting variables using the Means node"" ""Selecting variables using single-antecedent association rules""""Chapter 3: Data Preparation � Clean""; ""Introduction""; ""Binning scale variables to address missing data""; ""Using a full data model/partial data model approach to address missing data""; ""Imputing in-stream mean or median""; ""Imputing missing values randomly from uniform or normal distributions""; ""Using random imputation to match a variable's distribution""; ""Searching for similar records using a neural network for inexact matching""; ""Using neuro-fuzzy searching to find similar names"" ""Producing longer Soundex codes""""Chapter 4: Data Preparation � Construct""; ""Introduction""; ""Building transformations with multiple Derive nodes""; ""Calculating and comparing conversion rates""; ""Grouping categorical values""; ""Transforming high skew and kurtosis variables with a multiple Derive node""; ""Creating flag variables for aggregation""; ""Using Association Rules for interaction detection/feature creation""; ""Creating time-aligned cohorts""; ""Chapter 5: Data Preparation � Integrate and Format""; ""Introduction"" ""Speeding up merge with caching and optimization settings""""Merging a look-up table""; ""Shuffle-down (nonstandard aggregation)""; ""Cartesian product merge using key-less merge by key""; ""Multiplying out using Cartesian product merge, user source, and derive dummy""; ""Changing large numbers of variable names without scripting""; ""Parsing nonstandard dates""; ""Parsing and performing a conversion on a complex stream""; ""Sequence processing""; ""Chapter 6: Selecting and Building a Model""; ""Introduction""; ""Evaluating balancing with the Auto Classifier"" ""Building models with and without outliers"" |
| Altri titoli varianti | SPSS Modeler cookbook |
| Record Nr. | UNINA-9910818786803321 |
|
McCormick Keith
|
||
| Birmingham : , : Packt Publishing, , [2013] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||