Modern data mining algorithms in C++ and CUDA C recent developments in feature extraction and selection algorithms for data science /: recent developments in feature extraction and selection algorithms for data science. (2020)

• Record Type: Book
• Further Information: Note: Timothy Masters.
• Other Names: Masters, Timothy
• Contents: 1. Introduction -- 2. Forward Selection Component Analysis -- 3. Local Feature Selection -- 4. Memory in Time Series Features -- 5. Stepwise Selection on Steroids -- 6. Nominal-to-Ordinal Conversion.
• Publisher Details: Berkeley, CA : Apress L.P
• Publication Date: 2020
• Extent: 1 online resource (233 p.)
• Subjects: 006.3/12; Data mining; C++ (Computer program language); Computing & information technology; Probability & statistics; Programming & scripting languages: general; Data mining; Computers -- General; Mathematics -- Probability & Statistics -- General; Computers -- Programming Languages -- General; Computers -- Database Management -- Data Mining; C++ (Computer program language); Data mining; Electronic books; Electronic books
• Languages: English
• ISBNs: 9781484259887; 1484259882
• Related ISBNs: 1484259874; 9781484259870
• 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.