Data analytics the ultimate guide to big data analytics for business, data mining techniques, data collection, and business intelligence concepts
With this book, not only the reader understand all the internal nitty-gritties about data analytics and data mining,but they will also understand why data analytics and data mining is changing the business arena. They will realized that the high-performance analytics will enable them to do stuff tha...
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| Format: | Book |
| Language: | English |
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United States
[publisher not identified]
2018
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| 008 | 221012 2018 xxua 000 0 eng d | ||
| 020 | |a 9781727481013 | ||
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| 100 | 1 | |a Jones, Herbert |e author | |
| 245 | 1 | 0 | |a Data analytics |b the ultimate guide to big data analytics for business, data mining techniques, data collection, and business intelligence concepts |c Herbert Jones |
| 264 | 1 | |a United States |b [publisher not identified] |c 2018 | |
| 264 | 4 | |c ©2018 | |
| 300 | |a 144 pages |b illustrations |c 25 cm | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a unmediated |2 rdamedia | ||
| 338 | |a volume |2 rdacarrier | ||
| 505 | 0 | |a Part 1: Data analytics - Chapter 1:Overview of data analytics:what is data analytics (and big data analytics) -- Chapter 2: Data analytics and business intelligence -- Chapter 3: Data analysis and data analytics -- Chapter 5: Data collection -- Chapter 6:Types of data analytics -- Chapter 7:The process:the lifecycle of big data analytics -- Chapter 8:Behavioral analytics:using big data analytics to find hidden customer behavior patterns -- Chapters 9:Further pattern discovery in advanced analytics:machine learning -- Conclusion -- Part 2:Data Mining -- Chapter 1:Overview data mining -- Chapter 2:Know your data -- Chapter 3:Data preparation -- Chapter 4:Similarity and distances -- Chapter 5:Association pattern mining -- Chapter 6:Cluster analysis -- Chapters 7:Outlier analysis -- Chapter 8:Data classification -- Chapter 9:Application of data mining in business -- Chapter 10:The best data mining techniques to use | |
| 520 | |a With this book, not only the reader understand all the internal nitty-gritties about data analytics and data mining,but they will also understand why data analytics and data mining is changing the business arena. They will realized that the high-performance analytics will enable them to do stuff that them never thought about before probably because the volumes of data were just too big (among other reasons) and so much more. | ||
| 592 | |a IN/016525 |b 27/10/2022 |c RM 138 |h Innowawasan | ||
| 650 | 0 | |a Business intelligence | |
| 650 | 0 | |a Big data | |
| 650 | 0 | |a Data mining | |
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