01148oam 2200385zu 450 99621770090331620210807003404.0(CKB)111055184252416(SSID)ssj0000454449(PQKBManifestationID)12173447(PQKBTitleCode)TC0000454449(PQKBWorkID)10397595(PQKB)10981991(NjHacI)99111055184252416(EXLCZ)9911105518425241620160829d2001 uy engur|||||||||||txtccr2001 IEEE International Conference on Plasma Science[Place of publication not identified]I E E E20011 online resource illustrationsBibliographic Level Mode of Issuance: Monograph0-7803-7141-0 Includes bibliographical references.Plasma chemistryPlasma chemistry.541.0PQKBPROCEEDING9962177009033162001 IEEE International Conference on Plasma Science2529995UNISA03935nam 22006375 450 991033763630332120251116212044.03-030-14038-510.1007/978-3-030-14038-0(CKB)4100000007810210(DE-He213)978-3-030-14038-0(MiAaPQ)EBC5925363(PPN)235234745(EXLCZ)99410000000781021020190312d2019 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierApplying Predictive Analytics Finding Value in Data /by Richard V. McCarthy, Mary M. McCarthy, Wendy Ceccucci, Leila Halawi1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (X, 205 p.) 3-030-14037-7 Introduction to Predictive Analytics -- Know Your Data – Data Preparation -- What do Descriptive Statistics Tell Us -- The First of the Big Three – Regression -- The Second of the Big Three – Decision Trees -- The Third of the Big Three - Neural Networks -- Model Comparisons and Scoring -- Appendix A -- Data Dictionary for the Automobile Insurance Claim Fraud Data Example -- Conclusion.This textbook presents a practical approach to predictive analytics for classroom learning. It focuses on using analytics to solve business problems and compares several different modeling techniques, all explained from examples using the SAS Enterprise Miner software. The authors demystify complex algorithms to show how they can be utilized and explained within the context of enhancing business opportunities. Each chapter includes an opening vignette that provides real-life example of how business analytics have been used in various aspects of organizations to solve issue or improve their results. A running case provides an example of a how to build and analyze a complex analytics model and utilize it to predict future outcomes. Focuses on how to use predictive analytic techniques to analyze historical data for the purpose of predicting future results; Takes an applied approach and focus on solving business problems using predictive analytics and features case studies and a variety of examples; Uses examples in SAS Enterprise Miner, one of world’s leading analytics software tools.Electrical engineeringComputational intelligenceData miningBig dataCommunications Engineering, Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/T24035Computational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Data Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Big Data/Analyticshttps://scigraph.springernature.com/ontologies/product-market-codes/522070Electrical engineering.Computational intelligence.Data mining.Big data.Communications Engineering, Networks.Computational Intelligence.Data Mining and Knowledge Discovery.Big Data/Analytics.006.312006.312McCarthy Richard V.authttp://id.loc.gov/vocabulary/relators/aut98286McCarthy Mary M.authttp://id.loc.gov/vocabulary/relators/autCeccucci Wendyauthttp://id.loc.gov/vocabulary/relators/autHalawi Leilaauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910337636303321Applying Predictive Analytics2591239UNINA