01533nam a22002891i 450099100109829970753620040301152921.0040318s1959 it |||||||||||||||||ita b12717708-39ule_instARCHE-070196ExLDip.to FilosofiaitaA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l.331La disciplina organizzativa del lavoro3. ed.Padova :CEDAM,1959535 p. ;25 cmTrattato di diritto del lavoro ;3Contiene: Gli organi di elaborazione, di applicazione e di controllo del diritto del lavoro / Giuseppe Chiarelli ; La disciplina della domanda e dell'offerta di lavoro e dell'emigrazione / Giuliano Mazzoni ; L'orario di lavoro ed i riposi / Giuseppe D'Eufemia ; Il lavoro delle donne e dei fanciulli e la tutela delle lavoratrici madri / Franco Guidotti ; La tutela dell'igiene e della sicurezza del lavoro / Lionello R. Levi Sandri ; Disposizioni di legislazione sociale particolari ad alcune categorie di lavoratori / Valente SimiDiritto del lavoroOrganizzazione del lavoroChiarelli, Giuseppe.b1271770802-04-1431-03-04991001098299707536LE005 DIR I A 51 v. 3V. 312005000151774le005-E0.00-l- 00000.i1324212x31-03-04Disciplina organizzativa del lavoro270728UNISALENTOle00531-03-04ma -itait 3100792nam a2200229 a 4500991000902569707536101020s2008 it 001 0 ita 9788806181734b1392963x-39ule_instDip.to Studi Storiciita892.437 Amir, Eli473768Jasmine /Eli Amir ; traduzione di Alessandra ShomroniTorino, :Einaudi, [2008]454 p. ;22 cm.Shomroni, Alessandra.b1392963x26-10-1020-10-10991000902569707536LE023 892.437 AMI 1 1 12023000120866le023-E21.00-l- 02220.i1518802425-10-10Jasmine249151UNISALENTOle02326-10-10ma -itait 0004394nam 22006615 450 991029926940332120200703153818.03-319-77800-510.1007/978-3-319-77800-6(CKB)4100000003359556(MiAaPQ)EBC5374908(DE-He213)978-3-319-77800-6(PPN)226693244(EXLCZ)99410000000335955620180426d2018 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierNetwork Data Analytics A Hands-On Approach for Application Development /by K. G. Srinivasa, Siddesh G. M., Srinidhi H1st ed. 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (406 pages)Computer Communications and Networks,1617-79753-319-77799-8 Part I: Data Analytics and Hadoop -- Chapter 1. Introduction to Data Analytics -- Chapter 2. Introduction to Hadoop -- Chapter 3. Data Analytics with Map Reduce -- Part II: Tools for Data Analytics -- Chapter 4. Apache Pig -- Chapter 5. Apache Hive -- Chapter 6. Apache Spark -- Chapter 7. Apache Flume -- Chapter 8. Apache Storm -- Chapter 9. Python R -- Part III: Machine Learning for Data Analytics -- Chapter 10. Basics of Machine Learning -- Chapter 11. Linear Regression -- Chapter 12. Logistic Regression -- Chapter 13. Machine Learning on Spark -- Part IV: Exploring and Visualizing Data -- Chapter 14. Introduction to Visualization -- Chapter 15. Principles of Data Visualization -- Chapter 16. Visualization Charts -- Chapter 17. Popular Visualization Tools -- Chapter 18. Data Visualization with Hadoop -- Part V: Case Studies -- Chapter 19. Product Recommendation -- Chapter 20. Market Basket Analysis.In order to carry out data analytics, we need powerful and flexible computing software. However the software available for data analytics is often proprietary and can be expensive. This book reviews Apache tools, which are open source and easy to use. After providing an overview of the background of data analytics, covering the different types of analysis and the basics of using Hadoop as a tool, it focuses on different Hadoop ecosystem tools, like Apache Flume, Apache Spark, Apache Storm, Apache Hive, R, and Python, which can be used for different types of analysis. It then examines the different machine learning techniques that are useful for data analytics, and how to visualize data with different graphs and charts. Presenting data analytics from a practice-oriented viewpoint, the book discusses useful tools and approaches for data analytics, supported by concrete code examples. The book is a valuable reference resource for graduate students and professionals in related fields, and is also of interest to general readers with an understanding of data analytics.Computer Communications and Networks,1617-7975Data miningBig dataMathematicsVisualizationArtificial intelligenceData Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Big Datahttps://scigraph.springernature.com/ontologies/product-market-codes/I29120Visualizationhttps://scigraph.springernature.com/ontologies/product-market-codes/M14034Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Data mining.Big data.Mathematics.Visualization.Artificial intelligence.Data Mining and Knowledge Discovery.Big Data.Visualization.Artificial Intelligence.004.36Srinivasa K. Gauthttp://id.loc.gov/vocabulary/relators/aut921502G. M Siddeshauthttp://id.loc.gov/vocabulary/relators/autH Srinidhiauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910299269403321Network Data Analytics2067148UNINA