Data mining with R : learning with case studies /: learning with case studies. (2017)

• Record Type: Book
• Further Information: Note: Luís Torgo.
• Other Names: Torgo, Luís
• Contents: Introduction I R AND DATA MINING Introduction to R Starting with R Basic Interaction with the R Console R Objects and Variables R Functions Vectors Vectorization Factors Generating Sequences Sub-Setting Matrices and Arrays Lists Data Frames Useful Extensions to Data Frames Objects, Classes, and Methods Managing Your Sessions Introduction to Data Mining A Bird’s Eye View on Data Mining Data Collection and Business Understanding Data Pre-Processing Modeling Evaluation Reporting and Deployment II CASE STUDIES Predicting Algae Blooms Problem Description and Objectives Data Description Loading the Data into R Data Visualization and Summarization Unknown Values Obtaining Prediction Models Model Evaluation and Selection Predictions for the Seven Algae Summary Predicting Stock Market Returns Problem Description and Objectives The Available Data The Prediction Models From Predictions into Actions Model Evaluation and Selection The Trading System Summary Detecting Fraudulent Transactions Problem Description and Objectives The Available Data Defining the Data Mining Tasks Obtaining Outlier Rankings Summary Classifying Microarray Samples Problem Description and Objectives The Available Data Gene (Feature) Selection Predicting Cytogenetic Abnormalities Summary
• Edition: Second edition
• Publisher Details: Boca Raton : Taylor & Francis, CRC Press
• Publication Date: 2017
• Extent: 1 online resource
• Subjects: 006.3/12; COMPUTERS / Database Management / Data Mining; Data mining -- Case studies; R (Computer program language); Data mining; R (Computer program language); COMPUTERS / General; Case studies; Electronic books
• Languages: English
• ISBNs: 9781315399102; 1315399105; 9781315399096; 1315399091
• Related ISBNs: 9781482234893; 1482234890
• 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.