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Vikram Pudi
2010 – today
- 2013
[c37]Harshit Dubey, Vikram Pudi: Class Based Weighted K-Nearest Neighbor over Imbalance Dataset. PAKDD (2) 2013: 305-316- [c36]Harshit Dubey, Vikram Pudi: CLUEKR : CLUstering Based Efficient kNN Regression. PAKDD (1) 2013: 450-458
- 2012
- [j4]Ashish Mangalampalli, Vikram Pudi: FAR-miner: a fast and efficient algorithm for fuzzy association rule mining. IJBIDM 7(4): 288-317 (2012)
- [j3]Vikram Pudi, K. Sridharan: New Decomposition Theorems on Majority Logic for Low-Delay Adder Designs in Quantum Dot Cellular Automata. IEEE Trans. on Circuits and Systems 59-II(10): 678-682 (2012)
- [c35]Harshit Dubey, Saket Bharambe, Vikram Pudi: BINGR: Binary Search based Gaussian Regression. KDIR 2012: 258-263
- [c34]Saket Bharambe, Harshit Dubey, Vikram Pudi: BINER - BINary Search Based Efficient Regression. MLDM 2012: 76-85
- [c33]Shashank Paliwal, Vikram Pudi: Investigating Usage of Text Segmentation and Inter-passage Similarities to Improve Text Document Clustering. MLDM 2012: 555-565
- 2011
- [j2]Vikram Pudi, K. Sridharan: Efficient Design of a Hybrid Adder in Quantum-Dot Cellular Automata. IEEE Trans. VLSI Syst. 19(9): 1535-1548 (2011)
- [c32]Kumar Shubhankar, Aditya Pratap Singh, Vikram Pudi: An Efficient Algorithm for Topic Ranking and Modeling Topic Evolution. DEXA (1) 2011: 320-330
- [c31]Raghvendra Mall, Nahil Jain, Vikram Pudi: Detecting Correlations between Hot Days in News Feeds. KDIR 2011: 375-378
- [c30]Shashank Paliwal, Vikram Pudi: Utilizing Term Proximity based Features to Improve Text Document Clustering. KDIR 2011: 537-544
- [c29]B. Sandeep Kumar, Vikram Pudi, K. Sridharan: Efficient VLSI Architectures for the Hadamard Transform Based on Offset-Binary Coding and ROM Decomposition. ISVLSI 2011: 347-348
- [c28]Gaurav Maheshwari, Bhanukiran Vinzamuri, Vikram Pudi: RNN Based Sampling Technique for Effective Active Learning. MLDM Posters 2011: 59-65
- [c27]Aditya Desai, Himanshu Singh, Vikram Pudi: DISC: Data-Intensive Similarity Measure for Categorical Data. PAKDD (2) 2011: 469-481
- [c26]Ashish Mangalampalli, Adwait Ratnaparkhi, Andrew O. Hatch, Abraham Bagherjeiran, Rajesh Parekh, Vikram Pudi: A feature-pair-based associative classification approach to look-alike modeling for conversion-oriented user-targeting in tail campaigns. WWW (Companion Volume) 2011: 85-86
- [c25]Ashish Mangalampalli, Vikram Pudi: Fuzzy associative rule-based approach for pattern mining and identification and pattern-based classification. WWW (Companion Volume) 2011: 379-384
- 2010
- [c24]
- [c23]Bhanukiran Vinzamuri, Vikram Pudi: A Robust Active Learning Framework Using Itemset Based Dynamic Rule Sampling. COMAD 2010: 103
- [c22]
- [c21]Himanshu Singh, Aditya Desai, Vikram Pudi: PAGER: Parameterless, Accurate, Generic, Efficient kNN-Based Regression. DEXA (2) 2010: 168-176
- [c20]Ashish Mangalampalli, Vikram Pudi: FACISME: Fuzzy associative classification using iterative scaling and maximum entropy. FUZZ-IEEE 2010: 1-8
- [c19]Ashish Mangalampalli, Vikram Pudi: FPrep: Fuzzy clustering driven efficient automated pre-processing for fuzzy association rule mining. FUZZ-IEEE 2010: 1-8
- [c18]Aditya Desai, Himanshu Singh, Vikram Pudi: SEAR - Scalable, Efficient, Accurate, Robust kNN-based Regression. KDIR 2010: 392-395
- [c17]Raghvendra Mall, Prakhar Jain, Vikram Pudi: PERFICT: Perturbed Frequent Itemset Based Classification Technique. ICTAI (1) 2010: 79-86
- [c16]Kiran G. V. R., Ravi Shankar, Vikram Pudi: Frequent Itemset Based Hierarchical Document Clustering Using Wikipedia as External Knowledge. KES (2) 2010: 11-20
- [e4]Mohammed Javeed Zaki, Jeffrey Xu Yu, B. Ravindran, Vikram Pudi (Eds.): Advances in Knowledge Discovery and Data Mining, 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part I. Lecture Notes in Computer Science 6118, Springer 2010, ISBN 978-3-642-13656-6
- [e3]Mohammed Javeed Zaki, Jeffrey Xu Yu, B. Ravindran, Vikram Pudi (Eds.): Advances in Knowledge Discovery and Data Mining, 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part II. Lecture Notes in Computer Science 6119, Springer 2010, ISBN 978-3-642-13671-9
2000 – 2009
- 2009
- [c15]Raghvendra Mall, Neeraj Bagdia, Vikram Pudi: Variations and Trends in Hot Topics in News Feeds. COMAD 2009
- [c14]Ashish Mangalampalli, Vikram Pudi: Fuzzy association rule mining algorithm for fast and efficient performance on very large datasets. FUZZ-IEEE 2009: 1163-1168
- [e2]Sanjay Chawla, Kamalakar Karlapalem, Vikram Pudi (Eds.): Proceedings of the 15th International Conference on Management of Data, December 9-12, 2009, International School of Information Management, Mysore, India. Computer Society of India 2009
- 2008
- [c13]Pradhee Tandon, Piyush Nigam, Vikram Pudi, C. V. Jawahar: FISH: a practical system for fast interactive image search in huge databases. CIVR 2008: 369-378
- [c12]Pratibha Rani, Vikram Pudi: REBMEC: Repeat Based Maximum Entropy Classifier for Biological Sequences. COMAD 2008: 71-82
- [c11]
- [c10]Vikram Pudi: Is There really Anything Beyond Frequent Patterns, Classification and Clustering in Data Mining? DASFAA 2008: 710
- [c9]Pratibha Rani, Vikram Pudi: RBNBC: Repeat Based Naive Bayes Classifier for Biological Sequences. ICDM 2008: 989-994
- [e1]Jayant R. Haritsa, Kotagiri Ramamohanarao, Vikram Pudi (Eds.): Database Systems for Advanced Applications, 13th International Conference, DASFAA 2008, New Delhi, India, March 19-21, 2008. Proceedings. Lecture Notes in Computer Science 4947, Springer 2008, ISBN 978-3-540-78567-5
- 2007
- [c8]Nataraj Jammalamadaka, Vikram Pudi, C. V. Jawahar: Efficient Search with Changing Similarity Measures on Large Multimedia Datasets. MMM (2) 2007: 206-215
- 2005
- [c7]Risivardhan Thonangi, Vikram Pudi: ACME: An Associative Classifier Based on Maximum Entropy Principle. ALT 2005: 122-134
- [c6]Ravindranath Jampani, Vikram Pudi: Using Prefix-Trees for Efficiently Computing Set Joins. DASFAA 2005: 761-772
- 2003
- [c5]
- [c4]Vikram Pudi, Jayant R. Haritsa: Generalized Closed Itemsets for Association Rule Mining. ICDE 2003: 714-716
- [c3]Vikram Pudi, Jayant R. Haritsa: Reducing Rule Covers with Deterministic Error Bounds. PAKDD 2003: 313-324
- 2002
- [c2]
- [c1]Vikram Pudi, Jayant R. Haritsa: On the Efficiency of Association-Rule Mining Algorithms. PAKDD 2002: 80-91
- 2000
- [j1]Vikram Pudi, Jayant R. Haritsa: Quantifying the Utility of the Past in Mining Large Databases. Inf. Syst. 25(5): 323-343 (2000)
Coauthor Index
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last updated on 2013-05-04 21:42 CEST by the dblp team