00953nam a2200241 i 450099100436813510753620250218123030.0250218s1988 it er 001 0 ita dBibl. Dip.le Aggr. Scienze Giuridiche - Sez. Studi GiuridiciitaSocioculturale Scsita940.5423Soldati italiani dopo il settembre 1943 /a cura e introduzione di Pasquale Iuso ; presentazione di Aldo Aniasi ; nota di Mario Rigoni SternRoma :Federazione italiana associazioni partigiane,1988XXXV, 410 p. ;21 cmQuaderni della FIAP ;51Prigionieri italianiGuerra mondiale 1939-19451943-1945DocumentiIuso, PasqualeRigoni Stern, MarioAniasi, AldoQuaderni della FIAP ;51991004368135107536Soldati italiani dopo il settembre 19432566985UNISALENTO03327nam 2200697 a 450 991096092320332120250717111809.097866129538809781282953888128295388597800808903640080890369(CKB)2670000000062246(EBL)634862(OCoLC)701704090(SSID)ssj0000468262(PQKBManifestationID)11335202(PQKBTitleCode)TC0000468262(PQKBWorkID)10498313(PQKB)10223535(Au-PeEL)EBL634862(CaPaEBR)ebr10525052(CaONFJC)MIL295388(CaSebORM)9780123748560(MiAaPQ)EBC634862(PPN)170264319(OCoLC)804815502(OCoLC)ocn804815502(EXLCZ)99267000000006224620101005d2011 uy 0engur|n|---|||||txtrdacontentcrdamediacrrdacarrierData mining practical machine learning tools and techniques /Ian H. Witten, Eibe Frank, Mark A. Hall3rd ed.Amsterdam Elsevier/Morgan Kaufmann20111 online resource (665 p.) illThe Morgan Kaufmann Series in Data Management SystemsDescription based upon print version of record9780123748560 0123748569 Includes bibliographical references and index.Part I. Machine learning tools and techniques: 1. What's it all about?; 2. Input: concepts, instances, and attributes; 3. Output: knowledge representation; 4. Algorithms: the basic methods; 5. Credibility: evaluating what's been learned -- Part II. Advanced Data Mining: 6. Implementations: real machine learning schemes; 7. Data transformation; 8. Ensemble learning; 9. Moving on: applications and beyond -- Part III. The Weka Data MiningWorkbench: 10. Introduction to Weka; 11. The explorer -- 12. The knowledge flow interface; 13. The experimenter; 14 The command-line interface; 15. Embedded machine learning; 16. Writing new learning schemes; 17. Tutorial exercises for the weka explorer.Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizatioThe Morgan Kaufmann Series in Data Management SystemsData miningData mining.006.3/12006.312Witten I. H(Ian H.)28571Frank Eibe28572Hall Mark A1621426MiAaPQMiAaPQMiAaPQBOOK9910960923203321Data mining4404656UNINA