Exploring data with RapidMiner : explore, understand, and prepare real data using rapidminer's practical tips and tricks /: explore, understand, and prepare real data using rapidminer's practical tips and tricks. (2013)

• Record Type: Book
• Further Information: Note: Andrew Chisholm.
• Authors: Chisholm, Andrew, 1959-
• Contents: Cover; Copyright; Credits; About the Author; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Setting the Scene; A process framework; Data volume and velocity; Datavariety, formats, and meanings; Missing data; Cleaning data; Visualizing data; Resource constraints; Terminology; Accompanying material; Summary; Chapter 2: Loading Data; Reading files; Alternative delimiters; Reading complete lines; Reading large numbers of attributes; Splitting files into smaller pieces; Databases; The Read Database operator; Large datasets; Using macros; Summary. Chapter 3: Visualizing DataGetting started; Statistical summaries; Relationships between attributes; Scatter plots; Scatter 3D color; Parallel and deviation; Quartile color; Time series data; Plotting series; Using the survey plotter; Relations between examples; Using histograms; Using block plots; Summary; Chapter 4: Parsing and Converting Attributes; Generating attributes; Date functions; Regular expression functions; Generating extracts; Regular expressions; XPath; Renaming attributes; Searching and replacing attribute values; Using the Map operator; Using the Replace operator. Using Replace (Dictionary)Summary; Chapter 5: Outliers; Manual inspection; Increasing the data volume; Rules for handling outliers; Automated detection of example outliers; Detect Outlier (Distances); Detect Outlier (Densities); Detect Outlier (LOF); Detect Outliers (COF); Summary; Chapter 6: Missing Values; Missing or empty?; Types of missing data; Missing completely at random; Missing at random; Not missing at random; Categorizing missing data; Finding MCAR data; Finding MAR data; Finding NMAR data; A cautionary note; Effect of missing data; Options for handling missing data. Returning to the root causeIgnore it; Manual editing; Deletion of examples; Deletion of attributes; Imputation with single values; Modeling; Summary; Chapter 7: Transforming Data; Creating new attributes; Aggregation; Using pivoting; Using de-pivoting; Summary; Chapter 8: Reducing Data Size; Removing examples using sampling; Removing attributes; Removing useless attributes; Weighting attributes; Selecting attributes using models; Summary; Chapter 9: Resource Constraints; Measuring and estimating performance; Measuring performance; Adding memory; Parallel processing; Restructuring processes.
• Publisher Details: Birmingham, UK : Packt Publishing
• Publication Date: 2013
• Extent: 1 online resource (iv, 148 pages), illustrations
• Subjects: 006.3; COMPUTERS -- Programming Languages -- Java; Data mining; COMPUTERS -- General; COMPUTERS -- Databases -- Data Warehousing; Electronic books
• Languages: English
• ISBNs: 9781782169345; 1782169342
• Related ISBNs: 9781782169338; 1782169334
• Notes: Note: Print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.