Data Mining: Techniques. Front Cover. Arun K. Pujari. Universities Press, – pages Bibliographic information. QR code for Data Mining. Data Mining Techniques [Arun K Pujari] on *FREE* shipping on qualifying offers. Data Mining Techniques addresses all the major and latest. Data Mining Techniques – Arun K. Pujari – Ebook download as PDF File .pdf), Text File .txt) or read book online. Arun K Pujari.
|Published (Last):||25 October 2008|
|PDF File Size:||18.95 Mb|
|ePub File Size:||9.18 Mb|
|Price:||Free* [*Free Regsitration Required]|
It can also be an excellent handbook for researchers in the area of data mining and data warehousing. Machine Learning and Security. 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.
Overall rating No ratings yet 0. Applied Cryptography and Network Security. Python Machine Learning By Example. August 24, ISBN: Machine Learning for Developers. Redis Programming by Example. Mastering Text Mining with R. Ratings and Reviews 0 0 star ratings 0 reviews. Introduction to Information Retrieval. Data Mining Techniques addresses all the major and latest techniques of data mining and data warehousing.
We appreciate your feedback. Fundamentals of Predictive Text Mining. Advanced Machine Learning with Python.
The book also discusses the mining of web data, spatial data, temporal data and text data. Continue shopping Checkout Continue shopping. It deals in detail with the latest algorithms for discovering association rules, decision trees, clustering, neural networks and genetic algorithms.
Readings in Artificial Intelligence and Software Engineering.
The revised edition includes a comprehensive chapter on rough set theory. Data Mining Techniques by Arun K.
Data Mining – Arun K. Pujari
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. This book can serve as a textbook for students of computer science, mathematical science and management science.
Innovations, Standards and Practices of Web Services. How to write a great review. Would you like us to take another look at this review? Handbook of Big Data Technologies. The Functional Approach to Programming.
Data Mining – Arun K. Pujari – PDF Drive
Schema Matching and Mapping. Machine Learning for Evolution Strategies.
You can read this item using any of the following Kobo apps and devices: Computational Intelligence in Data Mining. Formal Aspects of Component Software. Mastering Java Machine Learning.
Join Kobo & start eReading today
Big Data Analytics with R and Hadoop. Database and Expert Systems Applications. We’ll publish them on our site once we’ve reviewed them. Machine Learning with R. The Theory of Info-Dynamics: Machine Learning in Python.
Data Mining and Constraint Programming. Data Analysis for Network Cyber-Security. The rough set theory, which is a tool of sets and relations for studying imprecision, vagueness, and uncertainty in data analysis, is a relatively new mathematical and artificial intelligence technique.
Big Data Analytics and Knowledge Discovery. Data Analysis with Open Source Tools. Information and Communication Technology for Sustainable Development. Handbook of Constraint Programming. No, cancel Yes, report it Thanks! Principles of Data Integration. Professor Yanhong Annie Liu. Software Engineering and Methodology for Emerging Domains. Practical Machine Learning Tools and Techniques.