00000cam a22000004i 4500 UP-8027390931312459278 Buklod 20250626111540.0 o--- | || || ta 150827s2015 inum rb a001 0|eng d 9781118876138 (iLib)UPCEB-00009806211 DG1 eng rda DG1 OCLCF UMI Z5A eng 006.3 23 QA 76.9 D343 D382 2015 Data science & big data analytics discovering, analyzing, visualizing, and presenting data EMC Education Services. Data science and big data analytics. Indianapolis, IN John Wiley & Sons 2015. xviii, 410 p. Prof. Kurt Espinosa (Recommending faculty) : BS Computer Science Program Includes bibliographical references and index. Introduction to Big Data Analytics -- Data Analytics Lifecycle -- Review of Basic Data Analytic Methods Using R -- Advanced Analytical Theory and Methods: Clustering -- Advanced Analytical Theory and Methods: Association Rules -- Advanced Analytical Theory and Methods: Regression -- Advanced Analytical Theory and Methods: Classification -- Advanced Analytical Theory and Methods: Time Series Analysis -- Advanced Analytical Theory and Methods: Text Analysis -- Advanced Analytics: Technology and Tools: MapReduce and Hadoop -- Advanced Analytics: Technology and Tools: In-Database Analytics -- The Endgame, or Putting It All Together. This book is about harnessing the power of data for new insights. The book covers the breadth of activities, methods, and tools that data scientists use. The content focuses on concepts, principles and practical applications that are relevant to any industry and technology environment.-- From publisher's description. Data mining. Big data. Quantitative research. EMC Education Services. FO UPCEB CEBU-LAHUG QA76.9 D343 D382 2015 Book