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    • The Pragmatic Programmer
      I finished reading The Pragmatic Programmer by Andrew Hunt and David Thomas. It’s not a new book in the market but I was curious to read this. The technology topics covered, are not any different from those found in most software engineering books, but the way they’re presented using Pragmatic Philosophy Approach, is remarkable. Code […]
    • 2013 in review
      The stats helper monkeys prepared a 2013 annual report for this blog. Here’s an excerpt: A San Francisco cable car holds 60 people. This blog was viewed about 1,200 times in 2013. If it were a cable car, it would take about 20 trips to carry that many people. Click here to see the […]
    • Goodbye, Ness!
      It had to happen sometime. I thought Feb 2013 was the right time. I quit Ness after a long 5 years and 4 months of stay, in Feb. I joined FICO (formerly, Fair Isaac) last Feb.  While I get an opportunity to work with many varied stakeholders like Scientists, Architect, Product Management, Peer Developers, PMO, Technical Publications and also […]
    • Meta: information retrieval from Tweets
      I pick significant problems randomly sometimes and enjoy solving them, or at least attempt designing api :-). Here’s one such problem! Problem: How’d you go about finding meta information about a person’s tweets? NOTE: a) Tweet == Twitter updates b) Meta information –> Loosely defined. You can interpret it anyway you want –> Frequency, topics, follower […]
    • Understanding Big Data
      It’s been a while, since I last posted! To keep this rolling (I’m hardly getting any time to post my own articles or stuff about my experiments these days 😦  ), I just wanted to share this ebook on Big Data titled  Understanding Big Data: Analytics for Enterprise Class and Streaming Data. Cheers!
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Archive for April, 2011

Data Mining and Text Mining Resources

Posted by sanstechbytes on April 21, 2011

With the objective of learning data mining concepts and also applying them to my MS course project(I had promised to talk about this in one of my earlier posts), I happened to explore and compile links to some books, blogs, articles, papers etc. Here’s listing of those and it is useful to anyone who’s interested in Data Mining, Text Mining, NLP, Information Retrieval and related areas. This can serve up as a one-stop location, for my quick reference as well! 🙂

Academic/University Stuff:                   

Machine Learning Lectures

Introduction to Data Mining by Pang-Ning Tan, Michael Steinbach, Vipin Kumar

Java Data Mining: Standard, Theory and Practice:  A Practical Guide for architecture, design, and implementation by Mark H, Sunil Venkayala, Eric Marcade

Collective Intelligence in Action by Satnam Alag

Introduction to Information Retrieval by Christopher D. Manning, Prabhakar Raghavan and Hinrich  Schütze

Introduction to Modern Information Retrieval (Popular book)by G. Salton, Gerard

Electronics Statistics

Some more books


ACM KDD Special Interest Group

Ontology-based Distance Measure for Text Clustering

Data Mining: Extending the Information Warehouse Framework

Pragmatic Text Mining: Minimizing Human Effort to Quantify Many
Issues in Call Logs

Differentiating data- and text-mining terminology by Jan H. Kroeze, Machdel C. Matthee, Theo J. D. Bothma

Mining Text Data: Special Features and Patterns by Miguel Delgado, Maria J. Martín-Bautista, Daniel Sánchez, María Amparo Vila Miranda

Overview and semantic issues of text mining by Anna Stavrianou, Periklis Andritsos, Nicolas Nicoloyannis

Better Rules, Fewer Features: A Semantic Approach to Selecting Features from Text




Mother Link for Data Mining Resources from a Librarian(mayn’t find all those mentioned above though!)

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