Data Mining Techniques [Arun K Pujari] on *FREE* shipping on qualifying offers. Data Mining Techniques addresses all the major and latest. Read “Data Mining Techniques” by Arun with Rakuten Kobo. Data Mining Get $5 off your first eBook; Get your first audiobook for free. Sign in with . : Data Mining Techniques () by Arun K. Pujari and a great selection of similar New, Used and Collectible Books available now at.
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It’s not going to allow you to go very deep into any single area, but if you’re wanting to survey the data mining landscape, I highly recommend this book. The revised edition includes a comprehensive chapter on rough set hechniques. Then you can start reading Kindle books on your smartphone, tablet, or computer – no Kindle device required.
Data Mining Techniques — Arun K. Python Machine Learning By Example. Database Systems for Advanced Applications. Story of the year: It deals in detail with the latest algorithms for data mining arun k pujari association rules, decision trees, clustering, neural networks and genetic algorithms.
At Kobo, we try to ensure that published reviews do not contain rude or profane language, spoilers, or any of our reviewer’s personal information. The book also discusses the mining of web data, spatial data, temporal data and text data.
Arun K Pujari (Author of Data Mining Techniques)
Python Machine Learning By Example. How to write a great review Do Say what you liked best and least Describe the author’s style Explain the rating you gave Don’t Use rude and profane language Include any personal information Mention spoilers or the book’s price Recap the plot.
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Data Analysis with Open Source Tools. Overall rating No ratings yet 0. Professor Yanhong Annie Liu. Database Systems for Advanced Applications. Innovations, Standards and Practices of Web Services. Data Mining Techniques addresses all pujaei major and latest techniques of data mining and data warehousing. Continue shopping Checkout Continue shopping. Principles of Data Integration.
Big Aarun Analytics and Knowledge Discovery. The book also discusses the mining of web data, spatial data, temporal data and text data. Data Analysis for Network Cyber-Security.
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Software Daga and Methodology for Emerging Domains. Mastering Java Machine Learning. Advanced Machine Learning with Python. Automated Data Collection with R. It can also be an excellent handbook for researchers in the area of data mining and data warehousing.
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Interesting and recent developments such as Support Vector Machines and Rough Set Theory are also covered in the book. Advances in Databases and Information Systems.
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