I am trying to implement a machine learning algorithm that classifies some situations using text messages in log files and in database tables which reside on multiple servers. These messages are also sometimes related in a cause-and-effect relationship. After classifying a situation this algorithm needs to execute a proper action which shall be manually defined each time a new class is discovered. What would be the most useful Machine Learning book I can read and use for this task?
From your brief description I would suggest probabilistic causal networks.
I would suggest the following reading material:
*Graphical Models Representations for Learning,Reasoning and Data Mining by
Christian Borgelt,Matthias Steinbrecher & Rudolf Kruse
*Probabilistic Graphical Models: Principles and Techniques by Daphne Koller and Nir Friedman
If you are new to this type of algorithms I would suggest:
*Learning Bayesian Networks by Richard E. Neapolitan
If you think this is too abstract and are more into the NLP part of it I would suggest:
*Speech and Language Processing, 2nd Edition by Daniel Jurafsky and James H. Martin
or if you want a more IR oriented approach:
*Text Mining by Sholom M. Weiss by Nitin Indurkhya, Tong Zhang and Fred J. Damerau
Depending on your approach and the specific data that you have,I may help you narrow down or provide alternate reading list.
I would suggest :
Data Mining: Concepts and Techniques by Jiawei Han, Micheline Kamber
and also
Data Mining and Analysis: Fundamental Concepts and Algorithms by Mohammed J. Zaki and Wagner Meira, Jr. (The book will be available for purchase from Cambridge University Press and other standard distribution channels) but there is a draft copy in the web page of the authors.
I would like to suggest for text mining book because you are also work in text classification
"Text mining applications and programming .
Authored by Manu Konchady
charless river midia publisher
I would suggest the following books for you:
1) http://www.crcpress.com/product/isbn/9781420067187
2) http://www.crcpress.com/product/isbn/9781439841785
Hope this will help you.
Dear Konard,
Here are some references of papers (not books) that some of them might be even more relevant for your needs than books that are not dedicated to your exact needs:
Baharudin, B., Lee, L. H., & Khan, K. (2010). A review of machine learning algorithms for text-documents classification. Journal of advances in information technology, 1(1), 4-20.
Sebastiani, F. (2002). Machine learning in automated text categorization. ACM Computing Surveys 34(1):1–47.
Tong, S., & Koller, D. (2002). Support vector machine active learning with applications to text classification. The Journal of Machine Learning Research,2, 45-66.
Ikonomakis, M., Kotsiantis, S., & Tampakas, V. (2005). Text classification using machine learning techniques. WSEAS Transactions on Computers, 4(8), 966-974.
Granitzer, M. (2003). Hierarchical text classification using methods from machine learning. Master's Thesis, Graz University of Technology.
Khan, S. S., & Madden, M. G. (2010). A survey of recent trends in one class classification. In Artificial Intelligence and Cognitive Science (pp. 188-197). Springer Berlin Heidelberg.
Best regards,
Yaakov
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