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Data Mining / Analytic Events News, May 2010 |
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- Online courses: Text Mining (Jun 18 - Jul 16), NLP (Aug 20 - Sep 17) - May 28, 2010.
The Text Mining course, taught by Nitin Indurkhya, covers text preparation, predictive models for text, retrieval and clustering of documents .. "Text mining" is followed by "Natural Language Processing" (Aug 20 - Sep 17).
- PAKDD-2010, 21-24 Jun, Hyderabad, India - Call for Participation - May 26, 2010.
Attend The Fourteenth Pacific-Asia Conference on Knowledge Discovery and Data Mining
- Clarabridge Training Curriculum for Enterprise Text Analytics - May 26, 2010.
Enterprise deployments and the increased adoption of Clarabridge Self Service require subject matter that incorporates both best practices around customer experience as well as the specifics of employing text analytics.
- July 2-for-1 Training Offer - May 26, 2010.
Attend a SAS(r) data mining course this July and bring a colleague for free! Take advantage of our July 2 for 1 discount
- New MSc in Analytical Business Intelligence at BME, Budapest - May 18, 2010.
A new MSc course about Data Mining and Knowledge Discovery starts next semester at the Budapest University of Technology and Economics (BME)
- SUMMER SCHOOL NN2010 - May 11, 2010.
the school will explain relevant NN paradigms, including multilayer perceptrons (MLP), radial basis function networks (RBF) and support vector machines (SVM) used for classification and regression tasks, illustrated with applications to real data
- Text Analytics Summit, May 25-26, Boston - Get KDnuggets Discount - May 3, 2010.
Attend Text Analytics Conference - learn latest on Voice of the Customer, Sentiment Analysis, Social Media Analysis, Customer Experience Management & More...
- The ZULU Active Learning Competition - May 3, 2010.
participants are to build algorithms that can learn deterministic finite automata (DFA) by making the smallest number of membership queries to the server/oracle.
- SAS Webinar, May 19: Analytics Data Prep 101 - May 1, 2010.
this Webinar will highlight the specific approaches and unique data requirements needed to deal with analytics.
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