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Dr Vadlamani Ravi
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Demystify the hype around big data

I was wondering what is so 'big deal' about big data. Data Miners have been used to mine large data sets since early 2000s. Since, data miners anyway resort to stratified random sampling, how does…Continue

Started Oct 27, 2011

How to make rules extracted from GA, PSO etc random seed independent?
2 Replies

Whenever we use evolutionary algorithms like GA, PSO to extract 'if-then' rules for classification or regression purpose, we noticed that the set of rules keep changing in every run of the code. How…Continue

Started this discussion. Last reply by Dr Vadlamani Ravi Jun 29, 2011.

 

Dr Vadlamani Ravi's Page

Latest Activity

Dr Vadlamani Ravi replied to SHOUNAK GHOSAL's discussion Clinostats - Fraud detection in Insurance domain in the group Forensic and Fraud Analytics
"Dear Dr Tilmann, May I get a copy of the paper/chapter mentioned by you? Pls provide a link from where it can be downloaded. Thanks Dr Ravi "
Feb 25
Dr Vadlamani Ravi replied to SHOUNAK GHOSAL's discussion Fraud Detection using logistic regression in the group Forensic and Fraud Analytics
"Dear Mr Shoumak, You may try out undersampling or oversampling or SMOTE in order to bring a sort balance to the dataset. Then any good algorithm will give reasonably high sensitivity meaning the number of frauds correctly identified by the model as…"
Feb 15
Dr Vadlamani Ravi posted a discussion

Demysify the hype around big data

I was wondering what is so 'big deal' about big data. Data Miners have been used to mine large data sets since early 2000s. Since, data miners anyway resort to stratified random sampling, how does 'big data' pose a new problem now? We know well that some algorithms scale-up well and some do not. Unless someone wants to mine data in memory - the utility of which I doubt- we do not need this new buzz word. I could be wrong. Pls enlighten me.See More
Oct 27, 2011
Kesavan Hariharasubramanian left a comment for Dr Vadlamani Ravi
"Respected Sir,   Thanks for your kind compliments on my recent blog about relevance of Newton's Laws to BI! I feel very honored to receive an appreciation from a Professor of world repute such as you.   Warm…"
Sep 21, 2011
Kesavan Hariharasubramanian left a comment for Dr Vadlamani Ravi
"Respected Dr. Ravi, Thanks for your kind compliments on my recent blog about relevance of Newton's Laws to BI! I feel very honored to receive an appreciation from a Professor of world repute such as you.   Warm Regards, Kesavan  "
Sep 21, 2011
Dr Vadlamani Ravi commented on Kesavan Hariharasubramanian's blog post Newton's Laws of Motion and its relevance to Business Intelligence (BI)
"Excellent analogy ! At first, I was intrigued by the title. But after going through the post, I was convinced by the similarity drawn between the Newton's laws and BI. - Dr Ravi Vadlamani"
Sep 21, 2011
Dr Vadlamani Ravi replied to Dr Vadlamani Ravi's discussion How to make rules extracted from GA, PSO etc random seed independent?
"Hi Mr Ted,   Many thanks for the useful pointers. We shall implememt them and share with you our experience.   Thx n rgds,   Ravi"
Jun 29, 2011
Theodore Belding replied to Dr Vadlamani Ravi's discussion How to make rules extracted from GA, PSO etc random seed independent?
"Hi- What does one individual represent in your GA or PSO runs? I.e., is your resulting rule set represented by one individual, or by a set of coevolved individuals? If the former, you could try seeding a new GA/PSO population with all of the best…"
Jun 29, 2011
Dr Vadlamani Ravi posted a discussion

How to make rules extracted from GA, PSO etc random seed independent?

Whenever we use evolutionary algorithms like GA, PSO to extract 'if-then' rules for classification or regression purpose, we noticed that the set of rules keep changing in every run of the code. How to make the rules random seed independent? Any help is gratefully acknowledged - Dr RaviSee More
Jun 22, 2011

Profile Information

Short Bio:
Dr. Vadlamani Ravi is Associate Professor, in the Institute for Development and Research in Banking Technology, Hyderabad. He obtained his Ph.D. in the area of Soft Computing from Osmania University, Hyderabad and RWTH Aachen, Germany (2001); MS (Science and Technology) from BITS, Pilani (1991) and M.Sc.(Statistics & Operations Research) from IIT, Bombay (1987).

Prior to joining IDRBT as Assistant Professor in April 2005, he worked as a Faculty at the Institute of Systems Science (ISS), National University of Singapore (April 2002 - March 2005). At ISS, he was involved in teaching M.Tech. (Knowledge Engineering) and research in the areas of Fuzzy Systems, Neural Networks, Soft Computing Systems and Data Mining & Machine Learning. Further, he consulted for Seagate Technologies, Singapore and Knowledge Dynamics Pte. Ltd., Singapore, on data mining projects.

Before leaving for Singapore, he worked as Assistant Director (Scientist E1) from 1996 -2002 and Scientist C from 1993-1996 respectively at the Indian Institute of Chemical Technology (IICT), Hyderabad. He was deputed to RWTH Aachen (Aachen University of Technology) Germany under the DAAD Long Term Fellowship to carry out advanced research during 1997-1999. He earlier worked as Scientist B and Scientist C at the Central Building Research Institute, Roorkee (1988-1993) and is listed as an expert in Soft Computing by TIFAC, Government of India.


In a career spanning 22 years, Dr. Ravi has worked in several cross-disciplinary areas such as Financial Engineering, Software Engineering, Reliability Engineering, Chemical Engineering, Environmental Engineering, Chemistry, Medical Entomology, Bioinformatics and Geotechnical Engineering. He published 84 papers in refereed International / National Journals / Conferences and invited book chapters. He also edited a Book entitled "Advances in Banking Technology and Management: Impacts of ICT and CRM" ( http://www.igi-global.com/reference/ details.asp?id=6995 ), published by IGI Global, USA, 2007. Further, he advised 40 M.Tech./MCA/M.Sc projects and currently supervises 3 Ph.D. students.



Dr. Ravi is a referee for the several international journals including Annals of Information Systems, Applied Intelligence, Applied Soft Computing, Asia-Pacific Journal of Operational Research, Communications of the Association of Information Systems, Computational Statistics and Data Analysis, Computers and Operations Research, Decision Support Systems, European Journal of Operational Research, Expert Systems, Fuzzy Sets and Systems, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Reliability, Indian Journal of Engineering and Materials, Industrial & Engineering Chemistry Research Journal, Information Sciences, International Journal of Approximate Reasoning, International Journal of Computational Intelligence, International Journal of Neural Systems, Journal of Computer and Software technology, Journal of Industrial and Management Optimization, Journal of Systems and Software, Journal of Zhejiang University- Science A, Quantitative Finance, Neurocomputing, Soft Computing, Tourism Management. Moreover, he is a member of the Editorial Review Board for the "International Journal of Information Systems in Service Sector"published by IGI Global, USA; "International Journal of Data Analysis Techniques and Strategies" published by Inderscience, Switzerland; International Journal of Information and Decision Sciences (IJIDS), Inderscience Publications, Switzerland; International Journal of Strategic Decision Sciences (IJSDS), IGI Global, USA and International Journal of Information Technology Project Management (IJITPM), IGI Global, USA.



Dr. Ravi's research interests include Fuzzy Computing, Neuro Computing, Soft Computing, Data Mining, Web Mining, Privacy Preserving Data Mining, Global/Multi-Criteria/Combinatorial Optimization, Bankruptcy Prediction, Risk Measurement, Customer Relationship Management (CRM), Churn Prediction in Banks and firms and Asset Liability Management through Optimization. Some of his research papers are listed in Top 25 Hottest Articles by Elsevier and World Scientific. He has an H-index of 13 and more than 500 citations for his papers(http://scholar.google.co.in/). He is recognized as a Ph.D. supervisor at Department of Computer and Information Sciences, University of Hyderabad and Department of Computer Sciences, Berhampur University, Orissa. He is an invited member in Marquis Who's Who in the World, USA in 2009, 2010. He is also an invited member in 2000 Outstanding Intellectuals of the 21st Century 2009/2010- published by International Biographical Center, Cambridge, England, He is an Invited Member of "Top 100 Educators in 2009" published by International Biographical Centre, Cambridge, England.
My Website or LinkedIn Profile (URL):
http://www.idrbt.ac.in/staff/faculty/vravi/vravi.html
Field of Expertise:
Business Analytics, Predictive Modeling, Data Mining, Biostatistics, Marketing Databases, Operations Research, Quant, Web Analytics, Vizualization, Statistical Consulting, Artificial Intelligence
Years of Experience in Analytical Role:
22 years
Professional Status:
Professor
Interests:
Other
What is your Favorite Data Mining or Analytical Website?
http://kdnuggets.com;
What Other Analytical Website do you Recommend?
http://analyticalbridge.com
Your Company:
IDRBT
Industry:
Banking, Resaerch, Academics
How did you find out about AnalyticBridge?
By inviation

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At 5:27am on September 21, 2011, Kesavan Hariharasubramanian said…

Respected Sir,

 

Thanks for your kind compliments on my recent blog about relevance of Newton's Laws to BI!

I feel very honored to receive an appreciation from a Professor of world repute such as you.

 

Warm Regards,

Kesavan

 

 

 
 
 

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