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Interesting and recent developments such as Support Vector Machines and Rough Set Theory are also covered in the book. Machine Learning in Python. Clustering and Information Retrieval.
It can also be an excellent handbook for researchers in the area of data mining and data warehousing.
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Practical Machine Learning Tools and Techniques. Advanced Machine Learning with Python.
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Coordination Models and Languages. Big Data Analytics and Knowledge Discovery. Computational Intelligence in Data Mining.
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Data Mining – Arun K. Pujari
Machine Learning for Evolution Strategies. 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. Adta successfully reported this review. Principles of Data Integration. How to write a great review.
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Data Mining Techniques – Arun K. Pujari – Google Books
The Text Mining Handbook. Professor Yanhong Annie Liu. Machine Learning for Data Streams. Buy mininh eBook Price: Information and Communication Technology for Sustainable Development.
The Functional Approach to Programming. Rational Foundations of Information-Knowledge Dynamics. Machine Learning and Security. We appreciate your feedback. Database Systems for Advanced Applications. How to write data mining arun k pujari 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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Scalable Pattern Recognition Algorithms. 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.
Applied Cryptography and Network Security. These appear in Chapter 4. Innovations, Standards and Practices of Web Services.