# Charu Aggarwal

## contact information

Research Staff Member

Thomas J. Watson Research Center, Hawthorne, NY USA

+1914784

Thomas J. Watson Research Center, Hawthorne, NY USA

+1914784

## links

**2009**

Managing and Mining Uncertain Data

C C Aggarwal

Advances In Database Systems, 2009 - portal.acm.org, Springer

C C Aggarwal

Advances In Database Systems, 2009 - portal.acm.org, Springer

CONTOUR: an efficient algorithm for discovering discriminating subsequences

J Wang, Y Zhang, L Zhou, G Karypis, C C Aggarwal

J Wang, Y Zhang, L Zhou, G Karypis, C C Aggarwal

*Data Mining and Knowledge Discovery**18*(*1*), 1--29, Springer, 2009
Online Auctions: There can be only one

C Aggarwal, P Yu

C Aggarwal, P Yu

*IEEE Conference on Enterprise Computing and Electronic Commerce (CEC)*, 2009
On Segment-Based Stream Modeling and its Applications

C C Aggarwal

C C Aggarwal

*SIAM Data Mining Conference*, 2009
On Efficient Query Processing of Stream Counts on the Cell Processor

D Thomas, R Bordawekar, C C Aggarwal, P S Yu

D Thomas, R Bordawekar, C C Aggarwal, P S Yu

*Proc*, 2009
Data Streams: An Overview and Scientific Applications

C C Aggarwal

C C Aggarwal

*Scientific Data Mining and Knowledge Discovery: Principles and Foundations*, 377, Springer, 2009
A Framework for Clustering Massive-Domain Data Streams

C Aggarwal

C Aggarwal

*Proceedings of the 2009 IEEE International Conference on Data Engineering*,*pp. 102--113*
On High Dimensional Projected Clustering of Uncertain Data Streams

C C Aggarwal

C C Aggarwal

*Proceedings of the 2009 IEEE International Conference on Data Engineering*,*pp. 1152--1154*
GConnect: A Connectivity Index for Massive Disk-Resident Graphs

C Aggarwal, Y Xie, P S Yu

C Aggarwal, Y Xie, P S Yu

*VLDB Conference*, 2009
A survey of uncertain data algorithms and applications

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*IEEE Transactions on Knowledge and Data Engineering**21*(*5*), 1, 2009
Frequent pattern mining with uncertain data

C C Aggarwal, Y Li, J Wang, J Wang

C C Aggarwal, Y Li, J Wang, J Wang

*Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining*,*pp. 29--38*, 2009
On classification and segmentation of massive audio data streams

C C Aggarwal

C C Aggarwal

*Knowledge and Information Systems**20*(*2*), 137--156, Springer, 2009**2008**

Privacy-Preserving Data Mining: Models and Algorithms, vol. 34 of Advances in Database Systems

C C Aggarwal, P S Yu

2008 - Springer, Springer

C C Aggarwal, P S Yu

2008 - Springer, Springer

An Introduction to Privacy-Preserving Data Mining

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*privacy preserving data mining: models and algorithms*, Springer, 2008
Privacy and the Dimensionality Curse

C C Aggarwal

C C Aggarwal

*privacy preserving data mining: models and algorithms*, Springer, 2008
A Survey of Randomization Methods for Privacy-Preserving Data Mining

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*privacy preserving data mining: models and algorithms*, Springer, 2008
A framework for condensation-based anonymization of string data

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*Data Mining and Knowledge Discovery**16*(*3*), 251--275, Springer, 2008
On high dimensional indexing of uncertain data

CC Aggarwal, PS Yu

CC Aggarwal, PS Yu

*IEEE 24th International Conference on Data Engineering, 2008*,*pp. 1460--1461*
On Indexing High Dimensional Data with Uncertainty

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*SIAM Data Mining Conference*, 2008
A general survey of privacy-preserving data mining models and algorithms

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*Privacy-Preserving Data Mining: Models and Algorithms. Springer, Heidelberg*, Springer, 2008
LOCUST: An Online Analytical Processing Framework for High Dimensional Classification of Data Steams

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*Proceedings of the 2008 IEEE 24th International Conference on Data Engineering*,*pp. 426--435*
On static and dynamic methods for condensation-based privacy-preserving data mining

C C Aggarwal, P S Yu

portal.acm.org, ACM New York, NY, USA, 2008

C C Aggarwal, P S Yu

portal.acm.org, ACM New York, NY, USA, 2008

A framework for clustering uncertain data streams

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*IEEE 24th International Conference on Data Engineering, Canc{\'u}n, M{\'e}xico*, 2008
Discriminating subsequence discovery for sequence clustering

J Wang, Y Zhang, L Zhou, G Karypis, C C Aggarwal

J Wang, Y Zhang, L Zhou, G Karypis, C C Aggarwal

*SIAM Data Mining Conference*, Citeseer, 2008
Privacy-preserving data mining: models and algorithms

C C Aggarwal, P S Yu

2008 - books.google.com, Springer-Verlag New York Inc

C C Aggarwal, P S Yu

2008 - books.google.com, Springer-Verlag New York Inc

**2007**

Toward Exploratory Test-Instance-Centered Diagnosis in High-Dimensional Classification

CC Aggarwal

CC Aggarwal

*IEEE Transactions on Knowledge and Data Engineering**19*(*8*), 1001--1015, 2007
A SURVEY OF CHANGE DIAGNOSIS ALGORITHMS IN EVOLVING DATA STREAMS

C C Aggarwal

C C Aggarwal

*Data Streams: Models and Algorithms*, 85, Springer, 2007
On Point Sampling versus Space Sampling for Dimensionality Reduction

C C Aggarwal

C C Aggarwal

*SIAM Conference on Data Mining*, 2007
On privacy-preservation of text and sparse binary data with sketches

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*SIAM Data Mining Conference*, 2007
ON CLUSTERING MASSIVE DATA STREAMS: A SUMMARIZATION PARADIGM

C C Aggarwal, J Han, J Wang, P S Yu

C C Aggarwal, J Han, J Wang, P S Yu

*Data Streams: Models and Algorithms*, 9, Springer, 2007
On string classification in data streams

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining*,*pp. 45*, 2007
An introduction to data streams

C C Aggarwal

C C Aggarwal

*Data Streams: Models and Algorithms*, 1--8, Springer, 2007
Privacy-Preserving Data Mining: A Survey

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*Handbook of Database Security: Applications and Trends*, 431, Springer, 2007
A framework for classification and segmentation of massive audio data streams

C C Aggarwal

C C Aggarwal

*Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining*,*pp. 1017*, 2007
Challenges and experience in prototyping a multi-modal stream analytic and monitoring application on System S

K L Wu, K W Hildrum, W Fan, P S Yu, C C Aggarwal, D A George, B Gedik, E Bouillet, X Gu, G Luo, others

K L Wu, K W Hildrum, W Fan, P S Yu, C C Aggarwal, D A George, B Gedik, E Bouillet, X Gu, G Luo, others

*Proceedings of the 33rd international conference on Very large data bases*,*pp. 1185--1196*, VLDB Endowment, 2007
Xproj: a framework for projected structural clustering of xml documents

C C Aggarwal, N Ta, J Wang, J Feng, M Zaki

C C Aggarwal, N Ta, J Wang, J Feng, M Zaki

*Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining*,*pp. 55*, 2007
On randomization, public information and the curse of dimensionality

C C Aggarwal

C C Aggarwal

*ICDE Conference*, 2007
Data streams: models and algorithms

C C Aggarwal

2007 - books.google.com, Springer-Verlag New York Inc

C C Aggarwal

2007 - books.google.com, Springer-Verlag New York Inc

**2006**

On Temporal Evolution in Data Streams

C C Aggarwal

C C Aggarwal

*Lecture Notes in Computer Science**4212*, 1, Springer, 2006
Representation is Everything: Towards Efficient and Adaptable Similarity Measures for Biological Data

C C Aggarwal

C C Aggarwal

*Proceedings of the Sixth SIAM International Conference on Data Mining*,*pp. 210*, 2006
A Framework for Local Supervised Dimensionality Reduction of High Dimensional Data

C C Aggarwal

C C Aggarwal

*Proceedings of the Sixth SIAM International Conference on Data Mining*,*pp. 360*, 2006
A framework for on-demand classification of evolving data streams

CC Aggarwal, J Han, J Wang, PS Yu

CC Aggarwal, J Han, J Wang, PS Yu

*IEEE Transactions on Knowledge and Data Engineering**18*(*5*), 577--589, 2006
XRules: An effective algorithm for structural classification of XML data

M J Zaki, C C Aggarwal

M J Zaki, C C Aggarwal

*Machine Learning**62*(*1*), 137--170, Springer, 2006
On the Inverse Classification Problem and its Applications

C C Aggarwal, C Chen, J Han

C C Aggarwal, C Chen, J Han

*IEEE ICDE Conference*, 2006
On Clustering Techniques for Change Diagnosis in Data Streams

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*Lecture Notes in Computer Science**4198*, 139, Springer, 2006
A survey of synopsis construction in data streams

C Aggarwal, P S Yu

C Aggarwal, P S Yu

*Data Streams: Models and Algorithms*, 169--208, Springer, 2006
An evaluation of over-the-counter medication sales for syndromic surveillance

M Campbell, C S Li, C Aggarwal, M Naphade, K L Wu, T Zhang

M Campbell, C S Li, C Aggarwal, M Naphade, K L Wu, T Zhang

*Life science data mining*, 143, World Scientific Pub Co Inc, 2006
On privacy preservation against adversarial data mining

C C Aggarwal, J Pei, B Zhang

C C Aggarwal, J Pei, B Zhang

*Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining*,*pp. 516*, 2006
On the use of human-computer interaction for projected nearest neighbor search

C C Aggarwal

C C Aggarwal

*Data mining and knowledge discovery**13*(*1*), 89--117, Springer, 2006
On Futuristic Query Processing in Data Streams

C C Aggarwal

C C Aggarwal

*Lecture Notes in Computer Science**3896*, 41, Springer, 2006
On biased reservoir sampling in the presence of stream evolution

C C Aggarwal

C C Aggarwal

*Proceedings of the 32nd international conference on Very large data bases*,*pp. 618*, 2006
A framework for clustering massive text and categorical data streams

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*Proceedings of the Sixth SIAM International Conference on Data Mining*,*pp. 479*, 2006**2005**

On high dimensional projected clustering of data streams

C C Aggarwal, J Han, J Wang, P S Yu

C C Aggarwal, J Han, J Wang, P S Yu

*Data Mining and Knowledge Discovery**10*(*3*), 251--273, Springer, 2005
On change diagnosis in evolving data streams

C C Aggarwal

C C Aggarwal

*IEEE Transactions on Knowledge and Data Engineering**17*(*5*), 587--600, Institute of Electrical and Electronics Engineers, Inc, 445 Hoes Ln, Piscataway, NJ, 08854-1331, USA,, 2005
On the use of wavelet decomposition for string classification

C C Aggarwal, P S Bradley

C C Aggarwal, P S Bradley

*Data Mining and Knowledge Discovery**10*(*2*), 117--139, Springer, 2005
Towards exploratory test instance specific algorithms for high dimensional classification

C C Aggarwal

C C Aggarwal

*Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining*,*pp. 531*, 2005
On variable constraints in privacy preserving data mining

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*Proceedings of the Fifth SIAM International Conference on Data Mining*,*pp. 115*, 2005
Online analysis of community evolution in data streams

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*Proceedings of the Fifth SIAM International Conference on Data Mining*,*pp. 56*, 2005
CSR: Speaker Recognition from Compressed VoIP Packet Stream

C. Aggarwal, D. Olshefski, D. Saha, Z. Shae, P. Yu

C. Aggarwal, D. Olshefski, D. Saha, Z. Shae, P. Yu

*IEEE International Conference on Multimedia and Expo (ICME)*,*pp. 970--973*, 2005
On abnormality detection in spuriously populated data streams

C C Aggarwal

C C Aggarwal

*SIAM Data Mining Conference*, 2005
On k-anonymity and the curse of dimensionality

C C Aggarwal

C C Aggarwal

*Proceedings of the 31st international conference on Very large data bases*,*pp. 909*, 2005
An effective and efficient algorithm for high-dimensional outlier detection

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*The VLDB journal**14*(*2*), 211--221, Springer, 2005**2004**

An efficient subspace sampling framework for high-dimensional data reduction, selectivity estimation, and nearest-neighbor search

CC Aggarwal

CC Aggarwal

*IEEE Transactions on Knowledge and Data Engineering**16*(*10*), 1247--1262, 2004
On using partial supervision for text categorization

C C Aggarwal, S C Gates, P S Yu

C C Aggarwal, S C Gates, P S Yu

*IEEE Transactions on Knowledge and Data Engineering**16*(*2*), 245--255, Institute of Electrical and Electronics Engineers, Inc, 445 Hoes Ln, Piscataway, NJ, 08854-1331, USA,, 2004
A human-computer interactive method for projected clustering

C C Aggarwal

C C Aggarwal

*IEEE transactions on knowledge and data engineering*, 448--460, IEEE Computer Society, 2004
On Learning Strategies for Topic Specific Web Crawling

C C Aggarwal

C C Aggarwal

*Next Generation Data Mining Applications*, Citeseer, 2004
On leveraging user access patterns for topic specific crawling

C C Aggarwal

C C Aggarwal

*Data Mining and Knowledge Discovery**9*(*2*), 123--145, Springer, 2004
A condensation approach to privacy preserving data mining

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*Lecture notes in computer science*, 183--199, Springer, 2004
A framework for projected clustering of high dimensional data streams

C C Aggarwal, J Han, J Wang, P S Yu

C C Aggarwal, J Han, J Wang, P S Yu

*Proceedings of the Thirtieth international conference on Very large data bases-Volume 30*,*pp. 863*, 2004
On demand classification of data streams

C C Aggarwal, J Han, J Wang, P S Yu

C C Aggarwal, J Han, J Wang, P S Yu

*Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining*,*pp. 508*, 2004**2003**

On the use of conceptual reconstruction for mining massively incomplete data sets

S Parthasarathy, C C Aggarwal

S Parthasarathy, C C Aggarwal

*IEEE Transactions on Knowledge and Data Engineering*, 1512--1521, IEEE Computer Society, 2003
Towards systematic design of distance functions for data mining applications

C C Aggarwal

C C Aggarwal

*Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining*,*pp. 18*, 2003
On nearest neighbor indexing of nonlinear trajectories

C C Aggarwal, D Agrawal

C C Aggarwal, D Agrawal

*Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems*,*pp. 252--259*, 2003
A framework for clustering evolving data streams

C C Aggarwal, J Han, J Wang, P S Yu

C C Aggarwal, J Han, J Wang, P S Yu

*Proceedings of the 29th international conference on Very large data bases-Volume 29*,*pp. 92*, 2003
A framework for diagnosing changes in evolving data streams

C C Aggarwal

C C Aggarwal

*Proceedings of the 2003 ACM SIGMOD international conference on Management of data*,*pp. 575--586*
XRules: an effective structural classifier for XML data

M J Zaki, C C Aggarwal

M J Zaki, C C Aggarwal

*Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining*,*pp. 316--325*, 2003**2002**

An intuitive framework for understanding changes in evolving datastreams

CC Aggarwal

CC Aggarwal

*Data Engineering, 2002*
Adaptive Piggybacking Schemes for Video-on-Demand Systems

C C Aggarwal, J L Wolf, P S Yu

C C Aggarwal, J L Wolf, P S Yu

*Multimedia Tools and Applications**16*(*3*), 231--250, Springer, 2002
Depth first method for generating itemsets

R C Agarwal, C C Aggarwal, VVV Prasad

US Patent 6,389,416, 2002 - Google Patents, Google Patents

US Patent 6,389,416

R C Agarwal, C C Aggarwal, VVV Prasad

US Patent 6,389,416, 2002 - Google Patents, Google Patents

US Patent 6,389,416

Fast algorithms for online generation of profile association rules

C C Aggarwal, Z Sun, P S Yu

C C Aggarwal, Z Sun, P S Yu

*IEEE Transactions on Knowledge and Data Engineering*, 1017--1028, IEEE Computer Society, 2002
On effective classification of strings with wavelets

C C Aggarwal

C C Aggarwal

*Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining*,*pp. 163--172*, 2002
Redefining clustering for high-dimensional applications

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*IEEE Transactions on Knowledge and Data Engineering*, 210--225, IEEE Computer Society, 2002
Towards effective and interpretable data mining by visual interaction

C C Aggarwal

C C Aggarwal

*ACM SIGKDD Explorations Newsletter**3*(*2*), 11--22, ACM New York, NY, USA, 2002
Collaborative crawling: Mining user experiences for topical resource discovery

C C Aggarwal

C C Aggarwal

*Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining*,*pp. 428*, 2002
Finding localized associations in market basket data

C C Aggarwal, C Procopiuc, P S Yu

C C Aggarwal, C Procopiuc, P S Yu

*IEEE Transactions on Knowledge and Data Engineering*, 51--62, IEEE Computer Society, 2002
An automated system for web portal personalization

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*Proceedings of the 28th international conference on Very Large Data Bases*,*pp. 1031--1040*, 2002
Towards meaningful high-dimensional nearest neighbor search by human-computer interaction

C C Aggarwal

C C Aggarwal

*Proceedings of the International Conference on Data Engineering*,*pp. 593--604*, 2002
On multiroute maximum flows in networks

C C Aggarwal, J B Orlin

C C Aggarwal, J B Orlin

*Networks**39*(*1*), 43--52, Citeseer, 2002
Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neighbor search

C C Aggarwal

C C Aggarwal

*Proceedings of the 2002 ACM SIGMOD international conference on Management of data*,*pp. 463***2001**

Re-designing distance functions and distance-based applications for high dimensional applications

CC Aggarwal

CC Aggarwal

*Proc*,*pp. 13--18*, 2001
A tree projection algorithm for finding frequent itemsets

RC Agarwal, CC Aggarwal, VVV Prasad

RC Agarwal, CC Aggarwal, VVV Prasad

*Journal on Parallel and Distributed Computing**61*(*3*), 350--371, 2001
The maximum factor queue length batching scheme for video-on-demand systems

C C Aggarwal, J L Wolf, P S Yu

C C Aggarwal, J L Wolf, P S Yu

*IEEE Transactions on Computers**50*(*2*), 97--110, 2001
Effective nearest neighbor indexing with the euclidean metric

S W Kim, C C Aggarwal, P S Yu

S W Kim, C C Aggarwal, P S Yu

*Proceedings of the tenth international conference on Information and knowledge management*,*pp. 9--16*, 2001
Mining massively incomplete data sets by conceptual reconstruction

C C Aggarwal, S Parthasarathy

C C Aggarwal, S Parthasarathy

*Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining*,*pp. 227--232*, 2001
Mining associations with the collective strength approach

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*IEEE Transactions on Knowledge and Data Engineering*, 863--873, IEEE Computer Society, 2001
System and method of generating associations

R C Agarwal, C C Aggarwal, VVV Prasad

US Patent 6,311,179, 2001 - Google Patents, Google Patents

US Patent 6,311,179

R C Agarwal, C C Aggarwal, VVV Prasad

US Patent 6,311,179, 2001 - Google Patents, Google Patents

US Patent 6,311,179

A human-computer cooperative system for effective high dimensional clustering

C C Aggarwal

C C Aggarwal

*Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining*,*pp. 221--226*, 2001
A new approach to online generation of association rules

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*IEEE Transactions on Knowledge and Data Engineering*, 527--540, IEEE Computer Society, 2001
On effective conceptual indexing and similarity search in text data

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*Proc*,*pp. 3--10*, 2001
Re-designing distance functions and distance-based applications for high dimensional data

C C Aggarwal

C C Aggarwal

*ACM SIGMOD Record**30*(*1*), 13--18, ACM New York, NY, USA, 2001
On the surprising behavior of distance metrics in high dimensional spaces

C C Aggarwal, A Hinneburg, D A Keim

C C Aggarwal, A Hinneburg, D A Keim

*Lecture Notes in Computer Science**1973*, 420--434, Springer, 2001
Outlier detection for high dimensional data

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*ACM Sigmod Record**30*(*2*), 37--46, ACM New York, NY, USA, 2001
A tree projection algorithm for generation of frequent item sets

R C Agarwal, C C Aggarwal, VVV Prasad

R C Agarwal, C C Aggarwal, VVV Prasad

*Journal of Parallel and Distributed Computing**61*(*3*), 350--371, Elsevier, 2001
On the design and quantification of privacy preserving data mining algorithms

D Agrawal, C C Aggarwal

D Agrawal, C C Aggarwal

*Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems*,*pp. 247--255*, 2001
Towards long pattern generation in dense databases

C C Aggarwal

C C Aggarwal

*ACM SIGKDD Explorations Newsletter**3*(*1*), 20--26, ACM New York, NY, USA, 2001
On the design of a learning crawler for topical resource discovery

C C Aggarwal, F Al-Garawi, P S Yu

C C Aggarwal, F Al-Garawi, P S Yu

*ACM Transactions on Information Systems (TOIS)**19*(*3*), 286--309, ACM New York, NY, USA, 2001
On the effects of dimensionality reduction on high dimensional similarity search

C C Aggarwal

C C Aggarwal

*Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems*,*pp. 256--266*, 2001
Intelligent crawling on the World Wide Web with arbitrary predicates

C C Aggarwal, F Al-Garawi, P S Yu

C C Aggarwal, F Al-Garawi, P S Yu

*Proceedings of the 10th international conference on World Wide Web*,*pp. 96--105*, 2001**2000**

The intelligent recommendation analyzer

Charu C Aggarwal, Joel L Wolf, Kun-Lung Wu, S Yu Philip

2000 - IBM Thomas J. Watson Research ..., IBM Thomas J. Watson Research Division

Charu C Aggarwal, Joel L Wolf, Kun-Lung Wu, S Yu Philip

2000 - IBM Thomas J. Watson Research ..., IBM Thomas J. Watson Research Division

System and method for caching objects of non-uniform size using multiple LRU stacks partitions into a range of sizes

C C Aggarwal, M A Epelman, J L Wolf, P S Yu

US Patent 6,012,126, 2000 - Google Patents, Google Patents

US Patent 6,012,126

C C Aggarwal, M A Epelman, J L Wolf, P S Yu

US Patent 6,012,126, 2000 - Google Patents, Google Patents

US Patent 6,012,126

Finding generalized projected clusters in high dimensional spaces

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*Proceedings of the 2000 ACM SIGMOD international conference on Management of data*,*pp. 70--81*
On-line mining of quantitative association rules

C C Aggarwal, P S L Yu

US Patent 6,092,064, 2000 - Google Patents, Google Patents

US Patent 6,092,064

C C Aggarwal, P S L Yu

US Patent 6,092,064, 2000 - Google Patents, Google Patents

US Patent 6,092,064

The IGrid index: reversing the dimensionality curse for similarity indexing in high dimensional space

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining*,*pp. 119--129*, 2000
Personalization with dynamic profiler

K L Wu, C C Aggarwal, P S Yu

K L Wu, C C Aggarwal, P S Yu

*Third International Workshop on Advanced Issues of E-Commerce and Web-Based Information Systems*,*pp. 12--20*, 2000
Depth first generation of long patterns

R C Agarwal, C C Aggarwal, VVV Prasad

R C Agarwal, C C Aggarwal, VVV Prasad

*Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining*,*pp. 108--118*, 2000
What is the nearest neighbor in high dimensional spaces

A Hinneburg, C C Aggarwal, D A Keim

A Hinneburg, C C Aggarwal, D A Keim

*Proceedings of the 26th International Conference on Very Large Data Bases*,*pp. 506--515*, 2000**1999**

On the merits of using supervised clustering for building categorization systems

CC Aggarwal, SC Gates, PS Yu

CC Aggarwal, SC Gates, PS Yu

*SIGKDD Conference*, 1999
Depth-rst generation of large itemsets for association rules

R Agarwal, C Aggarwal, VVV Prasad

Technical Report, 1999

R Agarwal, C Aggarwal, VVV Prasad

Technical Report, 1999

A New Method for Similarity Indexing of Market Basket Data

CC Aggarwal, JL Wolf, Philip S. Yu

CC Aggarwal, JL Wolf, Philip S. Yu

*ACM SIGMOD Conference*,*pp. 407418*, 1999
Using unbalanced trees for indexing multidimensional objects

C C Aggarwal, J L Wolf, P S Yu, M Epelman

C C Aggarwal, J L Wolf, P S Yu, M Epelman

*Knowledge and Information Systems**1*(*3*), 157--192, 1999
A framework for finding projected clusters in high dimensional spaces

C Aggarwal, C Procopiuc, J L Wolf, P S Yu, J S Park

C Aggarwal, C Procopiuc, J L Wolf, P S Yu, J S Park

*Proc*, 1999
Optimizing profits in the broadcast delivery of multimedia products

C C Aggarwal, M S Squillante, J L Wolf, P S Yu, J Sethuraman

C C Aggarwal, M S Squillante, J L Wolf, P S Yu, J Sethuraman

*Proceedings of the Fifth International Workshop on Multimedia Information Systems (MIS)*, 1999
Design and analysis of permutation-based pyramid broadcasting

C C Aggarwal, J L Wolf, P S Yu

C C Aggarwal, J L Wolf, P S Yu

*Multimedia Systems**7*(*6*), 439--448, Springer, 1999
On text mining techniques for personalization

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*Lecture Notes in Computer Science*, 12--18, Springer, 1999
Data mining techniques for associations, clustering and classification

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*Lecture Notes in Computer Science*, 13--23, Springer, 1999
Caching on the world wide web

C Aggarwal, J L Wolf, P S Yu

C Aggarwal, J L Wolf, P S Yu

*IEEE Transactions on Knowledge and data Engineering**11*(*1*), 94--107, Institute of Electrical and Electronics Engineers, Inc, 445 Hoes Ln, Piscataway, NJ, 08854-1331, USA,, 1999
On the merits of building categorization systems by supervised clustering

C C Aggarwal, S C Gates, P S Yu

C C Aggarwal, S C Gates, P S Yu

*Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining*,*pp. 352--356*, 1999
Horting hatches an egg: A new graph-theoretic approach to collaborative filtering

C C Aggarwal, J L Wolf, K L Wu, P S Yu

C C Aggarwal, J L Wolf, K L Wu, P S Yu

*Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining*,*pp. 201--212*, 1999
Fast algorithms for projected clustering

C C Aggarwal, J L Wolf, P S Yu, C Procopiuc, J S Park

C C Aggarwal, J L Wolf, P S Yu, C Procopiuc, J S Park

*Proceedings of the 1999 ACM SIGMOD international conference on Management of data*,*pp. 61--72*
A new method for similarity indexing of market basket data

C C Aggarwal, J L Wolf, P S Yu

C C Aggarwal, J L Wolf, P S Yu

*ACM SIGMOD Record**28*(*2*), 407--418, ACM New York, NY, USA, 1999**1998**

System and method for construction of a data structure for indexing multidimensional objects

C C Aggarwal, J L Wolf, P S Yu

US Patent 5,781,906, 1998 - Google Patents, Google Patents

US Patent 5,781,906

C C Aggarwal, J L Wolf, P S Yu

US Patent 5,781,906, 1998 - Google Patents, Google Patents

US Patent 5,781,906

A Framework for the Optimizing of WWW Advertising

C Aggarwal, J Wolf, P Yu

C Aggarwal, J Wolf, P Yu

*Lecture notes in computer science*, 1--10, Springer, 1998
Optimization issues in multimedia systems

C C Aggarwal, J L Wolf, P S Yu

C C Aggarwal, J L Wolf, P S Yu

*International Journal of Intelligent Systems**13*(*12*), 1113--1135, Citeseer, 1998
A tree projection algorithm for generation of large itemsets for association rules

R Agarwal, C Aggarwal, VVV Prasad, V Crestana

R Agarwal, C Aggarwal, VVV Prasad, V Crestana

*IBM Research Report RC21341*, 1998
Diagnosing infeasibilities in network flow problems

C C Aggarwal, R K Ahuja, J Hao, J B Orlin

C C Aggarwal, R K Ahuja, J Hao, J B Orlin

*Mathematical Programming**81*(*3*), 263--280, Citeseer, 1998
Online generation of association rules

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*Proceedings of the International Conference on Data Engineering*,*pp. 402--411*, 1998
Online algorithms for finding profile association rules

C C Aggarwal, Z Sun, P S Yu

C C Aggarwal, Z Sun, P S Yu

*Proceedings of the seventh international conference on Information and knowledge management*,*pp. 86--95*, 1998
Data mining techniques for personalization

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*Bulletin of the Technical Committee on Data Engineering*, 4, Citeseer, 1998
A new framework for itemset generation

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems*,*pp. 24*, 1998
Mining large itemsets for association rules

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*Data Engineering Bulletin**21*(*1*), 23--31, Citeseer, 1998
Online generation of profile association rules

C C Aggarwal, Z Sun, P S Yu

C C Aggarwal, Z Sun, P S Yu

*Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining*,*pp. 129--133*, 1998**1997**

An optimized crossover for maximum independent set

CC Aggarwal, JB Orlin, RP Tai

CC Aggarwal, JB Orlin, RP Tai

*Operations Research**45*, 226--234, 1997
The S-tree: An Efficient, Index for Multidimensional Objects

C Aggarwal, J Wolf, P Yu, M Epelman

C Aggarwal, J Wolf, P Yu, M Epelman

*Lecture notes in computer science*, 350--376, Springer, 1997
On disk caching of web objects in proxy servers

C G Aggarwal, P S Yu

C G Aggarwal, P S Yu

*Proceedings of the sixth international conference on Information and knowledge management*,*pp. 238--245*, 1997
On caching policies for web objects

C C Aggarwal, J L Wolf, P S Yu, M Epelman

C C Aggarwal, J L Wolf, P S Yu, M Epelman

*IBM Research Report*, 1997
Optimized crossover for the independent set problem

C C Aggarwal, J B Orlin, R P Tai

C C Aggarwal, J B Orlin, R P Tai

*Operations Research**45*(*2*), 226--234, INFORMS, 1997**1996**

On optimal batching policies for video-on-demand servers

C Aggarwal, J Wolf, P Yu

C Aggarwal, J Wolf, P Yu

*IEEE Multimedia Computing and Systems Conference*,*pp. 253--258*, 1996
On optimal piggyback merging policies for video-on-demand systems

C Aggarwal, J Wolf, P S Yu

C Aggarwal, J Wolf, P S Yu

*Proceedings of the 1996 ACM SIGMETRICS international conference on Measurement and modeling of computer systems*,*pp. 200--209*
On optimal batching policies for video-on-demand storage servers

C Aggarwal, J Wolf, P Yu

C Aggarwal, J Wolf, P Yu

*Proceedings of MULTIMEDIA*,*pp. 253*, 1996
A permutation-based pyramid broadcasting scheme for video-on-demand systems

C C Aggarwal, J L Wolf, P S Yu

C C Aggarwal, J L Wolf, P S Yu

*Proceedings of MULTIMEDIA*,*pp. 118*, 1996**1995**

An efficient selection algorithm on the pyramid

CC Aggarwal, N Jain, P Gupta

CC Aggarwal, N Jain, P Gupta

*Information Processing Letters**53*(*1*), 37--47, Elsevier, 1995**Year Unknown**

A Faster Primal Network Simplex Algorithm

C C Aggarwal, H Kaplan, R E Tarjan

C C Aggarwal, H Kaplan, R E Tarjan

*Massachusetts Institute of Technology, Operations Research Centre, Working Paper*, 315--96, Citeseer, 0
On clustering massive text and categorical data streams

C C Aggarwal, P S Yu

C C Aggarwal, P S Yu

*Knowledge and Information Systems*, 1--26, Springer, 0