| 2008 |
|---|
| 15 | | Jayant R. Haritsa,
Kotagiri Ramamohanarao,
Vikram Pudi:
Database Systems for Advanced Applications, 13th International Conference, DASFAA 2008, New Delhi, India, March 19-21, 2008. Proceedings
Springer 2008 |
| 14 | EE | 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 |
| 13 | EE | Pratibha Rani,
Vikram Pudi:
REBMEC: Repeat Based Maximum Entropy Classifier for Biological Sequences.
COMAD 2008: 71-82 |
| 12 | EE | Vikram Pudi:
Is There really Anything Beyond Frequent Patterns, Classification and Clustering in Data Mining?
DASFAA 2008: 710 |
| 11 | EE | Rohit Paravastu,
Hanuma Kumar,
Vikram Pudi:
Uniqueness Mining.
DASFAA 2008: 84-94 |
| 10 | EE | Pratibha Rani,
Vikram Pudi:
RBNBC: Repeat Based Naive Bayes Classifier for Biological Sequences.
ICDM 2008: 989-994 |
| 2007 |
|---|
| 9 | EE | Nataraj Jammalamadaka,
Vikram Pudi,
C. V. Jawahar:
Efficient Search with Changing Similarity Measures on Large Multimedia Datasets.
MMM (2) 2007: 206-215 |
| 2005 |
|---|
| 8 | EE | Risivardhan Thonangi,
Vikram Pudi:
ACME: An Associative Classifier Based on Maximum Entropy Principle.
ALT 2005: 122-134 |
| 7 | EE | Ravindranath Jampani,
Vikram Pudi:
Using Prefix-Trees for Efficiently Computing Set Joins.
DASFAA 2005: 761-772 |
| 2003 |
|---|
| 6 | EE | Vikram Pudi,
Jayant R. Haritsa:
ARMOR: Association Rule Mining based on ORacle.
FIMI 2003 |
| 5 | EE | Vikram Pudi,
Jayant R. Haritsa:
Generalized Closed Itemsets for Association Rule Mining.
ICDE 2003: 714-716 |
| 4 | EE | Vikram Pudi,
Jayant R. Haritsa:
Reducing Rule Covers with Deterministic Error Bounds.
PAKDD 2003: 313-324 |
| 2002 |
|---|
| 3 | EE | Vikram Pudi,
Jayant R. Haritsa:
How Good Are Association-Rule Mining Algorithms?
ICDE 2002: 276 |
| 2 | EE | Vikram Pudi,
Jayant R. Haritsa:
On the Efficiency of Association-Rule Mining Algorithms.
PAKDD 2002: 80-91 |
| 2000 |
|---|
| 1 | EE | Vikram Pudi,
Jayant R. Haritsa:
Quantifying the Utility of the Past in Mining Large Databases.
Inf. Syst. 25(5): 323-343 (2000) |
