Vikram Pudi - researchr alias

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2011

DISC: Data-Intensive Similarity Measure for Categorical DataAditya Desai, Himanshu Singh, Vikram Pudi. pakdd 2011: 469-481 [doi]

Efficient VLSI Architectures for the Hadamard Transform Based on Offset-Binary Coding and ROM DecompositionB. Sandeep Kumar, Vikram Pudi, K. Sridharan. isvlsi 2011: 347-348 [doi]

Fuzzy associative rule-based approach for pattern mining and identification and pattern-based classificationAshish Mangalampalli, Vikram Pudi. WWW 2011: 379-384 [doi]

A feature-pair-based associative classification approach to look-alike modeling for conversion-oriented user-targeting in tail campaignsAshish Mangalampalli, Adwait Ratnaparkhi, Andrew O. Hatch, Abraham Bagherjeiran, Rajesh Parekh, Vikram Pudi. WWW 2011: 85-86 [doi]

Efficient Design of a Hybrid Adder in Quantum-Dot Cellular AutomataVikram Pudi, K. Sridharan. tvlsi, 19(9):1535-1548, 2011. [doi]

An Efficient Algorithm for Topic Ranking and Modeling Topic EvolutionKumar Shubhankar, Aditya Pratap Singh, Vikram Pudi. DEXA 2011: 320-330 [doi]

2010

Specialty MiningHanuma Kumar, Rohit Paravastu, Vikram Pudi. dawak 2010: 227-238 [doi]

PERFICT: Perturbed Frequent Itemset Based Classification TechniqueRaghvendra Mall, Prakhar Jain, Vikram Pudi. ictai 2010: 79-86 [doi]

Frequent Itemset Based Hierarchical Document Clustering Using Wikipedia as External KnowledgeKiran G. V. R., Ravi Shankar, Vikram Pudi. kes 2010: 11-20 [doi]

PAGER: Parameterless, Accurate, Generic, Efficient ::::k::::NN-Based RegressionHimanshu Singh, Aditya Desai, Vikram Pudi. DEXA 2010: 168-176 [doi]

Advances in Knowledge Discovery and Data Mining, 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part IIMohammed Javeed Zaki, Jeffrey Xu Yu, B. Ravindran, Vikram Pudi, editors, Volume 6119 of Lecture Notes in Computer Science, Springer, 2010. [doi]

Advances in Knowledge Discovery and Data Mining, 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010. Proceedings. Part IMohammed Javeed Zaki, Jeffrey Xu Yu, B. Ravindran, Vikram Pudi, editors, Volume 6118 of Lecture Notes in Computer Science, Springer, 2010. [doi]

2009

Proceedings of the 15th International Conference on Management of Data, December 9-12, 2009, International School of Information Management, Mysore, IndiaSanjay Chawla, Kamalakar Karlapalem, Vikram Pudi, editors, Computer Society of India, 2009.

Variations and Trends in Hot Topics in News FeedsRaghvendra Mall, Neeraj Bagdia, Vikram Pudi. comad 2009: [doi]

2008

Database Systems for Advanced Applications, 13th International Conference, DASFAA 2008, New Delhi, India, March 19-21, 2008. ProceedingsJayant R. Haritsa, Kotagiri Ramamohanarao, Vikram Pudi, editors, Volume 4947 of Lecture Notes in Computer Science, Springer, 2008.

Uniqueness MiningRohit Paravastu, Hanuma Kumar, Vikram Pudi. dasfaa 2008: 84-94 [doi]

Is There really Anything Beyond Frequent Patterns, Classification and Clustering in Data Mining?Vikram Pudi. dasfaa 2008: 710 [doi]

REBMEC: Repeat Based Maximum Entropy Classifier for Biological SequencesPratibha Rani, Vikram Pudi. comad 2008: 71-82 [doi]

RBNBC: Repeat Based Naive Bayes Classifier for Biological SequencesPratibha Rani, Vikram Pudi. icdm 2008: 989-994 [doi]

FISH: a practical system for fast interactive image search in huge databasesPradhee Tandon, Piyush Nigam, Vikram Pudi, C. V. Jawahar. civr 2008: 369-378 [doi]

2007

Efficient Search with Changing Similarity Measures on Large Multimedia DatasetsNataraj Jammalamadaka, Vikram Pudi, C. V. Jawahar. mmm 2007: 206-215 [doi]

2005

Using Prefix-Trees for Efficiently Computing Set JoinsRavindranath Jampani, Vikram Pudi. dasfaa 2005: 761-772 [doi]

ACME: An Associative Classifier Based on Maximum Entropy PrincipleRisivardhan Thonangi, Vikram Pudi. alt 2005: 122-134 [doi]

2003

Generalized Closed Itemsets for Association Rule MiningVikram Pudi, Jayant R. Haritsa. icde 2003: 714-716 [doi]

ARMOR: Association Rule Mining based on ORacleVikram Pudi, Jayant R. Haritsa. fimi 2003: [doi]

Reducing Rule Covers with Deterministic Error BoundsVikram Pudi, Jayant R. Haritsa. pakdd 2003: 313-324 [doi]

2002

On the Efficiency of Association-Rule Mining AlgorithmsVikram Pudi, Jayant R. Haritsa. pakdd 2002: 80-91 [doi]

How Good Are Association-Rule Mining Algorithms?Vikram Pudi, Jayant R. Haritsa. icde 2002: 276 [doi]

2000

Quantifying the Utility of the Past in Mining Large DatabasesVikram Pudi, Jayant R. Haritsa. is, 25(5):323-343, 2000. [doi]