소장자료
| LDR | 04350nam 22009011i 4500 | ||
| 001 | 0100421200▲ | ||
| 003 | Uk▲ | ||
| 005 | 20190702154912▲ | ||
| 006 | m || d | ▲ | ||
| 007 | cr |||||||||||▲ | ||
| 008 | 180501s2018 sz a ob 001 0 eng d▲ | ||
| 015 | ▼aGBB8M3806▼2bnb▲ | ||
| 020 | ▼a9783319778006▼q(electronic bk.)▲ | ||
| 020 | ▼a3319778005▼q(electronic bk.)▲ | ||
| 020 | ▼z9783319777993▼q(print)▲ | ||
| 020 | ▼z3319777998▲ | ||
| 024 | 7 | ▼a10.1007/978-3-319-77800-6▼2doi▲ | |
| 037 | ▼acom.springer.onix.9783319778006▼bSpringer Nature▲ | ||
| 040 | ▼aGW5XE▼beng▼cGW5XE▼dN$T▼dEBLCP▼dYDX▼dAZU▼dOCLCQ▼dUPM▼dCOO▼dUAB▼dOCLCF▼dMERER▼dOCLCQ▼dU3W▼dUk▼erda▼epn▲ | ||
| 042 | ▼aukblsr▲ | ||
| 050 | 4 | ▼aQA76.9.D5▲ | |
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| 072 | 7 | ▼aCOM▼x018000▼2bisacsh▲ | |
| 072 | 7 | ▼aCOM▼x067000▼2bisacsh▲ | |
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| 072 | 7 | ▼aUYQE▼2bicssc▲ | |
| 082 | 0 | 4 | ▼a004.6▼223▲ |
| 100 | 1 | ▼aSrinivasa, K. G.,▼eauthor.▲ | |
| 245 | 1 | 0 | ▼aNetwork data analytics :▼ba hands-on approach for application development /▼cK.G. Srinivasa, Siddesh G.M., Srinidhi H.▲ |
| 264 | 1 | ▼aCham, Switzerland :▼bSpringer,▼c2018.▲ | |
| 300 | ▼a1 online resource (xxv, 398 pages) :▼billustrations (some color).▲ | ||
| 336 | ▼atext▼2rdacontent▲ | ||
| 337 | ▼acomputer▼2rdamedia▲ | ||
| 338 | ▼aonline resource▼2rdacarrier▲ | ||
| 490 | 1 | ▼aComputer communications and networks,▼x1617-7975▲ | |
| 504 | ▼aIncludes bibliographical references and index.▲ | ||
| 505 | 0 | ▼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.▲ | |
| 588 | 0 | ▼aOnline resource; title from PDF title page (SpringerLink, viewed May 1, 2018).▲ | |
| 650 | 0 | ▼aComputer science.▲ | |
| 650 | 0 | ▼aElectronic data processing▼xDistributed processing.▲ | |
| 650 | 0 | ▼aMachine learning.▲ | |
| 650 | 0 | ▼aBig data.▲ | |
| 650 | 0 | ▼aInternet of things.▲ | |
| 650 | 7 | ▼aCOMPUTERS▼xComputer Literacy.▼2bisacsh▲ | |
| 650 | 7 | ▼aCOMPUTERS▼xComputer Science.▼2bisacsh▲ | |
| 650 | 7 | ▼aCOMPUTERS▼xData Processing.▼2bisacsh▲ | |
| 650 | 7 | ▼aCOMPUTERS▼xHardware▼xGeneral.▼2bisacsh▲ | |
| 650 | 7 | ▼aCOMPUTERS▼xInformation Technology.▼2bisacsh▲ | |
| 650 | 7 | ▼aCOMPUTERS▼xMachine Theory.▼2bisacsh▲ | |
| 650 | 7 | ▼aCOMPUTERS▼xReference.▼2bisacsh▲ | |
| 650 | 1 | 4 | ▼aComputer Science.▲ |
| 650 | 2 | 4 | ▼aData Mining and Knowledge Discovery.▲ |
| 650 | 2 | 4 | ▼aBig Data.▲ |
| 650 | 2 | 4 | ▼aVisualization.▲ |
| 650 | 2 | 4 | ▼aArtificial Intelligence (incl. Robotics).▲ |
| 650 | 7 | ▼aBig data.▼2fast▼0(OCoLC)fst01892965▲ | |
| 650 | 7 | ▼aElectronic data processing▼xDistributed processing.▼2fast▼0(OCoLC)fst00906987▲ | |
| 650 | 7 | ▼aInternet of things.▼2fast▼0(OCoLC)fst01894151▲ | |
| 650 | 7 | ▼aMachine learning.▼2fast▼0(OCoLC)fst01004795▲ | |
| 650 | 7 | ▼aComputers▼xDatabase Management▼xGeneral.▼2bisacsh▲ | |
| 650 | 7 | ▼aMathematics▼xGraphic Methods.▼2bisacsh▲ | |
| 650 | 7 | ▼aComputers▼xIntelligence (AI) & Semantics.▼2bisacsh▲ | |
| 650 | 7 | ▼aDatabases.▼2bicssc▲ | |
| 650 | 7 | ▼aCombinatorics & graph theory.▼2bicssc▲ | |
| 650 | 7 | ▼aArtificial intelligence.▼2bicssc▲ | |
| 650 | 0 | ▼aData mining.▲ | |
| 650 | 0 | ▼aVisualization.▲ | |
| 650 | 0 | ▼aArtificial intelligence.▲ | |
| 650 | 7 | ▼aComputers▼xDatabase Management▼xData Mining.▼2bisacsh▲ | |
| 650 | 7 | ▼aData mining.▼2bicssc▲ | |
| 655 | 4 | ▼aElectronic books.▲ | |
| 700 | 1 | ▼aG. M., Siddesh,▼eauthor.▲ | |
| 700 | 1 | ▼aH., Srinidhi,▼eauthor.▲ | |
| 830 | 0 | ▼aComputer communications and networks,▼x1617-7975▲ |
Network data analytics :a hands-on approach for application development
자료유형
국외단행본
서명/책임사항
Network data analytics : a hands-on approach for application development / K.G. Srinivasa, Siddesh G.M., Srinidhi H.
형태사항
1 online resource (xxv, 398 pages) : illustrations (some color).
총서사항
서지주기
Includes bibliographical references and index.
내용주기
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.
주제
Computer science.
Electronic data processing, Distributed processing.
Machine learning.
Big data.
Internet of things.
COMPUTERS, Computer Literacy.
COMPUTERS, Computer Science.
COMPUTERS, Data Processing.
COMPUTERS, Hardware, General.
COMPUTERS, Information Technology.
COMPUTERS, Machine Theory.
COMPUTERS, Reference.
Computer Science.
Data Mining and Knowledge Discovery.
Big Data.
Visualization.
Artificial Intelligence (incl. Robotics).
Big data.
Electronic data processing, Distributed processing.
Internet of things.
Machine learning.
Computers, Database Management, General.
Mathematics, Graphic Methods.
Computers, Intelligence (AI) & Semantics.
Databases.
Combinatorics & graph theory.
Artificial intelligence.
Data mining.
Visualization.
Artificial intelligence.
Computers, Database Management, Data Mining.
Data mining.
Electronic data processing, Distributed processing.
Machine learning.
Big data.
Internet of things.
COMPUTERS, Computer Literacy.
COMPUTERS, Computer Science.
COMPUTERS, Data Processing.
COMPUTERS, Hardware, General.
COMPUTERS, Information Technology.
COMPUTERS, Machine Theory.
COMPUTERS, Reference.
Computer Science.
Data Mining and Knowledge Discovery.
Big Data.
Visualization.
Artificial Intelligence (incl. Robotics).
Big data.
Electronic data processing, Distributed processing.
Internet of things.
Machine learning.
Computers, Database Management, General.
Mathematics, Graphic Methods.
Computers, Intelligence (AI) & Semantics.
Databases.
Combinatorics & graph theory.
Artificial intelligence.
Data mining.
Visualization.
Artificial intelligence.
Computers, Database Management, Data Mining.
Data mining.
ISBN
9783319778006 3319778005
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