LEADER 01136nam0-2200397---450 001 990009602030403321 005 20191118170258.0 010 $a978-1-84593-550-4 035 $a000960203 035 $aFED01000960203 035 $a(Aleph)000960203FED01 035 $a000960203 100 $a20120705d2010----km-y0itay50------ba 101 0 $aeng 102 $aUS 105 $a--------001yy 200 1 $aMastitis control in dairy herds$fRoger Blowey and Peter Edmondson 205 $a2. edizione 210 $aCambridge, MA$cCABI$dc2010 215 $a259 p.$d25 cm 452 0$1001000988189 610 0 $aMastite$aBovine da latte 610 0 $aBovine da latte$aMalattie$aMastite 676 $a630.214 2$v22$zita 676 $a636.2089819$v22$zita 700 1$aBlowey,$bRoger William$0517167 701 1$aEdmondson,$bPeter$0517168 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990009602030403321 952 $a60 630.2142 B 1$b13838$fFAGBC 952 $a636.089819 BLO 1$b349$fFMVBC 959 $aFAGBC 959 $aFMVBC 996 $aMastitis control in dairy herds$9849870 997 $aUNINA LEADER 04394nam 22006615 450 001 9910299269403321 005 20200703153818.0 010 $a3-319-77800-5 024 7 $a10.1007/978-3-319-77800-6 035 $a(CKB)4100000003359556 035 $a(MiAaPQ)EBC5374908 035 $a(DE-He213)978-3-319-77800-6 035 $a(PPN)226693244 035 $a(EXLCZ)994100000003359556 100 $a20180426d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNetwork Data Analytics $eA Hands-On Approach for Application Development /$fby K. G. Srinivasa, Siddesh G. M., Srinidhi H 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (406 pages) 225 1 $aComputer Communications and Networks,$x1617-7975 311 $a3-319-77799-8 327 $aPart 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. 330 $aIn order to carry out data analytics, we need powerful and flexible computing software. However the software available for data analytics is often proprietary and can be expensive. This book reviews Apache tools, which are open source and easy to use. After providing an overview of the background of data analytics, covering the different types of analysis and the basics of using Hadoop as a tool, it focuses on different Hadoop ecosystem tools, like Apache Flume, Apache Spark, Apache Storm, Apache Hive, R, and Python, which can be used for different types of analysis. It then examines the different machine learning techniques that are useful for data analytics, and how to visualize data with different graphs and charts. Presenting data analytics from a practice-oriented viewpoint, the book discusses useful tools and approaches for data analytics, supported by concrete code examples. The book is a valuable reference resource for graduate students and professionals in related fields, and is also of interest to general readers with an understanding of data analytics. 410 0$aComputer Communications and Networks,$x1617-7975 606 $aData mining 606 $aBig data 606 $aMathematics 606 $aVisualization 606 $aArtificial intelligence 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aBig Data$3https://scigraph.springernature.com/ontologies/product-market-codes/I29120 606 $aVisualization$3https://scigraph.springernature.com/ontologies/product-market-codes/M14034 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aData mining. 615 0$aBig data. 615 0$aMathematics. 615 0$aVisualization. 615 0$aArtificial intelligence. 615 14$aData Mining and Knowledge Discovery. 615 24$aBig Data. 615 24$aVisualization. 615 24$aArtificial Intelligence. 676 $a004.36 700 $aSrinivasa$b K. G$4aut$4http://id.loc.gov/vocabulary/relators/aut$0921502 702 $aG. M$b Siddesh$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aH$b Srinidhi$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299269403321 996 $aNetwork Data Analytics$92067148 997 $aUNINA