2008 |
20 | EE | K. G. Srinivasa,
K. R. Venugopal,
Lalit M. Patnaik:
A soft computing approach for data mining based query processing using rough sets and genetic algorithms.
Int. J. Hybrid Intell. Syst. 5(1): 1-17 (2008) |
2007 |
19 | EE | K. G. Srinivasa,
M. Jagadish,
K. R. Venugopal,
Lalit M. Patnaik:
Data Mining based Query Processing using Rough Sets and Genetic Algorithms.
CIDM 2007: 275-282 |
18 | EE | K. G. Srinivasa,
Anuj Bhatt,
Sagnik Dhar,
K. R. Venugopal,
Lalit M. Patnaik:
Selective Querying and Other Proposals for a Less Congested Gnutella Network.
ICDCIT 2007: 203-208 |
17 | | K. G. Srinivasa,
Sagnik Dhar,
K. R. Venugopal,
Lalit M. Patnaik:
Statistical Analysis and Compression of DNA using Weighted Probability Approach and Modified Run-Length Encoding.
IICAI 2007: 1058-1070 |
16 | EE | K. G. Srinivasa,
K. R. Venugopal,
Lalit M. Patnaik:
A self-adaptive migration model genetic algorithm for data mining applications.
Inf. Sci. 177(20): 4295-4313 (2007) |
15 | EE | K. G. Srinivasa,
K. R. Venugopal,
Lalit M. Patnaik:
Selective dissemination of XML documents based on genetically learned user model and Support Vector Machines.
Intell. Data Anal. 11(5): 481-496 (2007) |
2006 |
14 | EE | K. G. Srinivasa,
S. Sharath,
K. R. Venugopal,
Lalit M. Patnaik:
Indexing XML Documents Using Self Adaptive Genetic Algorithms for Better Retreival.
APWeb 2006: 640-651 |
13 | EE | K. G. Srinivasa,
M. Jagadish,
K. R. Venugopal,
Lalit M. Patnaik:
Non-repetitive DNA Sequence Compression Using Memoization.
ISBMDA 2006: 402-412 |
12 | EE | K. G. Srinivasa,
K. R. Venugopal,
Lalit M. Patnaik:
An efficient fuzzy based neuro - genetic algorithm for stock market prediction.
Int. J. Hybrid Intell. Syst. 3(2): 63-81 (2006) |
11 | EE | K. G. Srinivasa,
Karthik Sridharan,
P. Deepa Shenoy,
K. R. Venugopal,
Lalit M. Patnaik:
A neural network based CBIR system using STI features and relevance feedback.
Intell. Data Anal. 10(2): 121-137 (2006) |
2005 |
10 | EE | K. G. Srinivasa,
S. Sharath,
K. R. Venugopal,
Lalit M. Patnaik:
GaXsearch: An XML Information Retrieval Mechanism Using Genetic Algorithms.
Australian Conference on Artificial Intelligence 2005: 435-444 |
9 | EE | K. G. Srinivasa,
S. Sharath,
K. R. Venugopal,
Lalit M. Patnaik:
Selective Dissemination of XML Documents Using GAs and SVM.
CIS (1) 2005: 562-567 |
8 | EE | K. G. Srinivasa,
Karthik Sridharan,
P. Deepa Shenoy,
K. R. Venugopal,
Lalit M. Patnaik:
A Dynamic Migration Model for Self-adaptive Genetic Algorithms.
IDEAL 2005: 555-562 |
7 | | K. G. Srinivasa,
K. R. Venugopal,
Lalit M. Patnaik:
An Efficient Fuzzy based Neuro - Genetic Algorithm for Stock Market Prediction.
IICAI 2005: 2256-2274 |
6 | | K. G. Srinivasa,
K. R. Venugopal,
Lalit M. Patnaik:
A Self-Adaptive Migration Model Genetic Algorithms for Data Mining Applications.
IICAI 2005: 3303-3322 |
5 | EE | P. Deepa Shenoy,
K. G. Srinivasa,
K. R. Venugopal,
Lalit M. Patnaik:
Dynamic Association Rule Mining using Genetic Algorithms.
Intell. Data Anal. 9(5): 439-453 (2005) |
4 | EE | K. G. Srinivasa,
S. Sharath,
K. R. Venugopal,
Lalit M. Patnaik:
Sagaxsearch: an Xml Information Retrieval Mechanism Using Self Adaptive Genetic Algorithms.
International Journal of Computational Intelligence and Applications 5(4): 471-493 (2005) |
2004 |
3 | EE | P. Deepa Shenoy,
K. G. Srinivasa,
Achint Oommen Thomas,
K. R. Venugopal,
Lalit M. Patnaik:
Mining Top - k Ranked Webpages Using Simulated Annealing and Genetic Algorithms.
AACC 2004: 137-144 |
2003 |
2 | EE | P. Deepa Shenoy,
K. G. Srinivasa,
M. P. Mithun,
K. R. Venugopal,
Lalit M. Patnaik:
Dynamic Subspace Clustering for Very Large High-Dimensional Databases.
IDEAL 2003: 850-854 |
1 | EE | P. Deepa Shenoy,
K. G. Srinivasa,
K. R. Venugopal,
Lalit M. Patnaik:
Evolutionary Approach for Mining Association Rules on Dynamic Databases.
PAKDD 2003: 325-336 |