| 2009 |
|---|
| 117 | EE | Charu C. Aggarwal:
A Framework for Clustering Massive-Domain Data Streams.
ICDE 2009: 102-113 |
| 116 | EE | Charu C. Aggarwal:
On High Dimensional Projected Clustering of Uncertain Data Streams.
ICDE 2009: 1152-1154 |
| 115 | EE | Dina Thomas,
Rajesh Bordawekar,
Charu C. Aggarwal,
Philip S. Yu:
On Efficient Query Processing of Stream Counts on the Cell Processor.
ICDE 2009: 748-759 |
| 114 | EE | Jianyong Wang,
Yuzhou Zhang,
Lizhu Zhou,
George Karypis,
Charu C. Aggarwal:
CONTOUR: an efficient algorithm for discovering discriminating subsequences.
Data Min. Knowl. Discov. 18(1): 1-29 (2009) |
| 2008 |
|---|
| 113 | EE | Charu C. Aggarwal,
Philip S. Yu:
On High Dimensional Indexing of Uncertain Data.
ICDE 2008: 1460-1461 |
| 112 | EE | Charu C. Aggarwal,
Philip S. Yu:
A Framework for Clustering Uncertain Data Streams.
ICDE 2008: 150-159 |
| 111 | EE | Charu C. Aggarwal:
On Unifying Privacy and Uncertain Data Models.
ICDE 2008: 386-395 |
| 110 | EE | Charu C. Aggarwal,
Philip S. Yu:
LOCUST: An Online Analytical Processing Framework for High Dimensional Classification of Data Streams.
ICDE 2008: 426-435 |
| 109 | EE | Charu C. Aggarwal,
Philip S. Yu:
Outlier Detection with Uncertain Data.
SDM 2008: 483-493 |
| 108 | EE | Charu C. Aggarwal,
Philip S. Yu:
On Indexing High Demensional Data with Uncertainty.
SDM 2008: 621-631 |
| 107 | EE | Charu C. Aggarwal,
Philip S. Yu:
On static and dynamic methods for condensation-based privacy-preserving data mining.
ACM Trans. Database Syst. 33(1): (2008) |
| 106 | EE | Charu C. Aggarwal,
Philip S. Yu:
A framework for condensation-based anonymization of string data.
Data Min. Knowl. Discov. 16(3): 251-275 (2008) |
| 2007 |
|---|
| 105 | EE | Charu C. Aggarwal:
On Randomization, Public Information and the Curse of Dimensionality.
ICDE 2007: 136-145 |
| 104 | EE | Charu C. Aggarwal:
On Density Based Transforms for Uncertain Data Mining.
ICDE 2007: 866-875 |
| 103 | EE | Charu C. Aggarwal:
A framework for classification and segmentation of massive audio data streams.
KDD 2007: 1013-1017 |
| 102 | EE | Charu C. Aggarwal,
Philip S. Yu:
On string classification in data streams.
KDD 2007: 36-45 |
| 101 | EE | Charu C. Aggarwal,
Na Ta,
Jianyong Wang,
Jianhua Feng,
Mohammed Javeed Zaki:
Xproj: a framework for projected structural clustering of xml documents.
KDD 2007: 46-55 |
| 100 | EE | Jianyong Wang,
Yuzhou Zhang,
Lizhu Zhou,
George Karypis,
Charu C. Aggarwal:
Discriminating Subsequence Discovery for Sequence Clustering.
SDM 2007 |
| 99 | EE | Charu C. Aggarwal,
Philip S. Yu:
On Anonymization of String Data.
SDM 2007 |
| 98 | EE | Charu C. Aggarwal:
On Point Sampling Versus Space Sampling for Dimensionality Reduction.
SDM 2007 |
| 97 | EE | Charu C. Aggarwal,
Philip S. Yu:
On Privacy-Preservation of Text and Sparse Binary Data with Sketches.
SDM 2007 |
| 96 | EE | Kun-Lung Wu,
Philip S. Yu,
Bugra Gedik,
Kirsten Hildrum,
Charu C. Aggarwal,
Eric Bouillet,
Wei Fan,
David George,
Xiaohui Gu,
Gang Luo,
Haixun Wang:
Challenges and Experience in Prototyping a Multi-Modal Stream Analytic and Monitoring Application on System S.
VLDB 2007: 1185-1196 |
| 95 | EE | Charu C. Aggarwal:
Toward Exploratory Test-Instance-Centered Diagnosis in High-Dimensional Classification.
IEEE Trans. Knowl. Data Eng. 19(8): 1001-1015 (2007) |
| 2006 |
|---|
| 94 | EE | Charu C. Aggarwal:
On Futuristic Query Processing in Data Streams.
EDBT 2006: 41-58 |
| 93 | EE | Charu C. Aggarwal,
Chen Chen,
Jiawei Han:
On the Inverse Classification Problem and its Applications.
ICDE 2006: 111 |
| 92 | EE | Charu C. Aggarwal,
Jian Pei,
Bo Zhang:
On privacy preservation against adversarial data mining.
KDD 2006: 510-516 |
| 91 | EE | Charu C. Aggarwal:
On Temporal Evolution in Data Streams.
PKDD 2006: 1 |
| 90 | EE | Charu C. Aggarwal,
Philip S. Yu:
A Framework for Clustering Massive Text and Categorical Data Streams.
SDM 2006 |
| 89 | EE | Charu C. Aggarwal:
A Framework for Local Supervised Dimensionality Reduction of High Dimensional Data.
SDM 2006 |
| 88 | EE | Charu C. Aggarwal:
Representation is Everything: Towards Efficient and Adaptable Similarity Measures for Biological Data.
SDM 2006 |
| 87 | EE | Charu C. Aggarwal:
On Biased Reservoir Sampling in the Presence of Stream Evolution.
VLDB 2006: 607-618 |
| 86 | EE | Charu C. Aggarwal:
On the use of Human-Computer Interaction for Projected Nearest Neighbor Search.
Data Min. Knowl. Discov. 13(1): 89-117 (2006) |
| 85 | EE | Charu C. Aggarwal,
Jiawei Han,
Jianyong Wang,
Philip S. Yu:
A Framework for On-Demand Classification of Evolving Data Streams.
IEEE Trans. Knowl. Data Eng. 18(5): 577-589 (2006) |
| 84 | EE | Mohammed Javeed Zaki,
Charu C. Aggarwal:
XRules: An effective algorithm for structural classification of XML data.
Machine Learning 62(1-2): 137-170 (2006) |
| 2005 |
|---|
| 83 | EE | Charu C. Aggarwal,
David P. Olshefski,
Debanjan Saha,
Zon-Yin Shae,
Philip S. Yu:
CSR: Speaker Recognition from Compressed VoIP Packet Stream.
ICME 2005: 970-973 |
| 82 | EE | Charu C. Aggarwal:
Towards exploratory test instance specific algorithms for high dimensional classification.
KDD 2005: 526-531 |
| 81 | | Charu C. Aggarwal:
On Abnormality Detection in Spuriously Populated Data Streams.
SDM 2005 |
| 80 | | Charu C. Aggarwal,
Philip S. Yu:
On Variable Constraints in Privacy Preserving Data Mining.
SDM 2005 |
| 79 | | Charu C. Aggarwal,
Philip S. Yu:
Online Analysis of Community Evolution in Data Streams.
SDM 2005 |
| 78 | EE | Charu C. Aggarwal:
On k-Anonymity and the Curse of Dimensionality.
VLDB 2005: 901-909 |
| 77 | EE | Charu C. Aggarwal,
Philip S. Yu:
On Clustering Techniques for Change Diagnosis in Data Streams.
WEBKDD 2005: 139-157 |
| 76 | EE | Charu C. Aggarwal,
Paul S. Bradley:
On the Use of Wavelet Decomposition for String Classification.
Data Min. Knowl. Discov. 10(2): 117-139 (2005) |
| 75 | EE | Charu C. Aggarwal,
Jiawei Han,
Jianyong Wang,
Philip S. Yu:
On High Dimensional Projected Clustering of Data Streams.
Data Min. Knowl. Discov. 10(3): 251-273 (2005) |
| 74 | EE | Charu C. Aggarwal:
On Change Diagnosis in Evolving Data Streams.
IEEE Trans. Knowl. Data Eng. 17(5): 587-600 (2005) |
| 73 | EE | Charu C. Aggarwal,
Philip S. Yu:
An effective and efficient algorithm for high-dimensional outlier detection.
VLDB J. 14(2): 211-221 (2005) |
| 2004 |
|---|
| 72 | EE | Charu C. Aggarwal,
Philip S. Yu:
A Condensation Approach to Privacy Preserving Data Mining.
EDBT 2004: 183-199 |
| 71 | EE | Charu C. Aggarwal,
Jiawei Han,
Jianyong Wang,
Philip S. Yu:
On demand classification of data streams.
KDD 2004: 503-508 |
| 70 | EE | Charu C. Aggarwal,
Jiawei Han,
Jianyong Wang,
Philip S. Yu:
A Framework for Projected Clustering of High Dimensional Data Streams.
VLDB 2004: 852-863 |
| 69 | EE | Charu C. Aggarwal:
On Leveraging User Access Patterns for Topic Specific Crawling.
Data Min. Knowl. Discov. 9(2): 123-145 (2004) |
| 68 | EE | Charu C. Aggarwal:
An Efficient Subspace Sampling Framework for High-Dimensional Data Reduction, Selectivity Estimation, and Nearest-Neighbor Search.
IEEE Trans. Knowl. Data Eng. 16(10): 1247-1262 (2004) |
| 67 | EE | Charu C. Aggarwal,
Stephen C. Gates,
Philip S. Yu:
On Using Partial Supervision for Text Categorization.
IEEE Trans. Knowl. Data Eng. 16(2): 245-255 (2004) |
| 66 | EE | Charu C. Aggarwal:
A Human-Computer Interactive Method for Projected Clustering.
IEEE Trans. Knowl. Data Eng. 16(4): 448-460 (2004) |
| 2003 |
|---|
| 65 | | Mohammed Javeed Zaki,
Charu C. Aggarwal:
Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery, DMKD 2003, San Diego, California, USA, June 13, 2003
ACM 2003 |
| 64 | EE | Mohammed Javeed Zaki,
Charu C. Aggarwal:
XRules: an effective structural classifier for XML data.
KDD 2003: 316-325 |
| 63 | EE | Charu C. Aggarwal:
Towards systematic design of distance functions for data mining applications.
KDD 2003: 9-18 |
| 62 | EE | Charu C. Aggarwal,
Dakshi Agrawal:
On nearest neighbor indexing of nonlinear trajectories.
PODS 2003: 252-259 |
| 61 | EE | Charu C. Aggarwal:
A Framework for Change Diagnosis of Data Streams.
SIGMOD Conference 2003: 575-586 |
| 60 | EE | Charu C. Aggarwal,
Jiawei Han,
Jianyong Wang,
Philip S. Yu:
A Framework for Clustering Evolving Data Streams.
VLDB 2003: 81-92 |
| 59 | EE | Srinivasan Parthasarathy,
Charu C. Aggarwal:
On the Use of Conceptual Reconstruction for Mining Massively Incomplete Data Sets.
IEEE Trans. Knowl. Data Eng. 15(6): 1512-1521 (2003) |
| 2002 |
|---|
| 58 | EE | Charu C. Aggarwal:
An Intuitive Framework for Understanding Changes in Evolving Data Streams.
ICDE 2002: 261 |
| 57 | EE | Charu C. Aggarwal:
Towards Meaningful High-Dimensional Nearest Neighbor Search by Human-Computer Interaction.
ICDE 2002: 593-604 |
| 56 | EE | Charu C. Aggarwal:
On effective classification of strings with wavelets.
KDD 2002: 163-172 |
| 55 | EE | Charu C. Aggarwal:
Collaborative crawling: mining user experiences for topical resource discovery.
KDD 2002: 423-428 |
| 54 | EE | Charu C. Aggarwal:
Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neighbor search.
SIGMOD Conference 2002: 452-463 |
| 53 | EE | Charu C. Aggarwal,
Philip S. Yu:
An Automated System for Web Portal Personalization.
VLDB 2002: 1031-1040 |
| 52 | EE | Charu C. Aggarwal,
Cecilia Magdalena Procopiuc,
Philip S. Yu:
Finding Localized Associations in Market Basket Data.
IEEE Trans. Knowl. Data Eng. 14(1): 51-62 (2002) |
| 51 | EE | Charu C. Aggarwal,
Philip S. Yu:
Redefining Clustering for High-Dimensional Applications.
IEEE Trans. Knowl. Data Eng. 14(2): 210-225 (2002) |
| 50 | EE | Charu C. Aggarwal,
Zheng Sun,
Philip S. Yu:
Fast Algorithms for Online Generation of Profile Association Rules.
IEEE Trans. Knowl. Data Eng. 14(5): 1017-1028 (2002) |
| 49 | | Charu C. Aggarwal,
Joel L. Wolf,
Philip S. Yu:
Adaptive Piggybacking Schemes for Video-On-Demand Systems.
Multimedia Tools Appl. 16(3): 231-250 (2002) |
| 48 | EE | Charu C. Aggarwal,
James B. Orlin:
On multiroute maximum flows in networks.
Networks 39(1): 43-52 (2002) |
| 47 | EE | Charu C. Aggarwal:
Towards Effective and Interpretable Data Mining by Visual Interaction.
SIGKDD Explorations 3(2): 11-22 (2002) |
| 2001 |
|---|
| 46 | | Sang-Wook Kim,
Charu C. Aggarwal,
Philip S. Yu:
Effective Nearest Neighbor Indexing with the Euclidean Metric.
CIKM 2001: 9-16 |
| 45 | EE | Charu C. Aggarwal,
Philip S. Yu:
On Effective Conceptual Indexing and Similarity Search in Text Data.
ICDM 2001: 3-10 |
| 44 | EE | Charu C. Aggarwal,
Alexander Hinneburg,
Daniel A. Keim:
On the Surprising Behavior of Distance Metrics in High Dimensional Spaces.
ICDT 2001: 420-434 |
| 43 | EE | Charu C. Aggarwal:
A human-computer cooperative system for effective high dimensional clustering.
KDD 2001: 221-226 |
| 42 | EE | Charu C. Aggarwal,
Srinivasan Parthasarathy:
Mining massively incomplete data sets by conceptual reconstruction.
KDD 2001: 227-232 |
| 41 | EE | Dakshi Agrawal,
Charu C. Aggarwal:
On the Design and Quantification of Privacy Preserving Data Mining Algorithms.
PODS 2001 |
| 40 | EE | Charu C. Aggarwal:
On the Effects of Dimensionality Reduction on High Dimensional Similarity Search.
PODS 2001 |
| 39 | EE | Charu C. Aggarwal,
Philip S. Yu:
Outlier Detection for High Dimensional Data.
SIGMOD Conference 2001: 37-46 |
| 38 | EE | Charu C. Aggarwal,
Fatima Al-Garawi,
Philip S. Yu:
Intelligent crawling on the World Wide Web with arbitrary predicates.
WWW 2001: 96-105 |
| 37 | EE | Charu C. Aggarwal,
Fatima Al-Garawi,
Philip S. Yu:
On the design of a learning crawler for topical resource discovery.
ACM Trans. Inf. Syst. 19(3): 286-309 (2001) |
| 36 | EE | Charu C. Aggarwal,
Joel L. Wolf,
Philip S. Yu:
The Maximum Factor Queue Length Batching Scheme for Video-on-Demand Systems.
IEEE Trans. Computers 50(2): 97-110 (2001) |
| 35 | EE | Charu C. Aggarwal,
Philip S. Yu:
A New Approach to Online Generation of Association Rules.
IEEE Trans. Knowl. Data Eng. 13(4): 527-540 (2001) |
| 34 | EE | Charu C. Aggarwal,
Philip S. Yu:
Mining Associations with the Collective Strength Approach.
IEEE Trans. Knowl. Data Eng. 13(6): 863-873 (2001) |
| 33 | EE | Ramesh C. Agarwal,
Charu C. Aggarwal,
V. V. V. Prasad:
A Tree Projection Algorithm for Generation of Frequent Item Sets.
J. Parallel Distrib. Comput. 61(3): 350-371 (2001) |
| 32 | EE | Charu C. Aggarwal:
Towards Long Pattern Generation in Dense Databases.
SIGKDD Explorations 3(1): 20-26 (2001) |
| 31 | EE | Charu C. Aggarwal:
Re-designing Distance Functions and Distance-Based Applications for High Dimensional Data.
SIGMOD Record 30(1): 13-18 (2001) |
| 2000 |
|---|
| 30 | | Charu C. Aggarwal,
Joel L. Wolf,
Kun-Lung Wu,
Philip S. Yu:
The Intelligent Recommendation Analyzer.
ICDCS Workshop of Knowledge Discovery and Data Mining in the World-Wide Web 2000: F67-F72 |
| 29 | EE | Ramesh C. Agarwal,
Charu C. Aggarwal,
V. V. V. Prasad:
Depth first generation of long patterns.
KDD 2000: 108-118 |
| 28 | EE | Charu C. Aggarwal,
Philip S. Yu:
The IGrid index: reversing the dimensionality curse for similarity indexing in high dimensional space.
KDD 2000: 119-129 |
| 27 | EE | Charu C. Aggarwal,
Philip S. Yu:
Finding Generalized Projected Clusters In High Dimensional Spaces.
SIGMOD Conference 2000: 70-81 |
| 26 | EE | Alexander Hinneburg,
Charu C. Aggarwal,
Daniel A. Keim:
What Is the Nearest Neighbor in High Dimensional Spaces?
VLDB 2000: 506-515 |
| 25 | EE | Charu C. Aggarwal,
Philip S. Yu:
Data Mining Techniques for Personalization.
IEEE Data Eng. Bull. 23(1): 4-9 (2000) |
| 24 | EE | Kenneth A. Ross,
Charu C. Aggarwal,
Alfons Kemper,
Sunita Sarawagi,
S. Sudarshan,
Mihalis Yannakakis:
Reminiscences on Influential Papers.
SIGMOD Record 29(3): 52-54 (2000) |
| 1999 |
|---|
| 23 | EE | Charu C. Aggarwal,
Joel L. Wolf,
Kun-Lung Wu,
Philip S. Yu:
Horting Hatches an Egg: A New Graph-Theoretic Approach to Collaborative Filtering.
KDD 1999: 201-212 |
| 22 | EE | Charu C. Aggarwal,
Stephen C. Gates,
Philip S. Yu:
On the Merits of Building Categorization Systems by Supervised Clustering.
KDD 1999: 352-356 |
| 21 | | Charu C. Aggarwal,
Mark S. Squillante,
Joel L. Wolf,
Philip S. Yu,
Jay Sethuraman:
Optimizing Profits in the Broadcast Delivery of Multimedia Products.
Multimedia Information Systems 1999: 88-95 |
| 20 | EE | Charu C. Aggarwal,
Philip S. Yu:
Data Mining Techniques for Associations, Clustering and Classification.
PAKDD 1999: 13-23 |
| 19 | | Charu C. Aggarwal,
Philip S. Yu:
On Text Mining Techniques for Personalization.
RSFDGrC 1999: 12-18 |
| 18 | EE | Charu C. Aggarwal,
Joel L. Wolf,
Philip S. Yu:
A New Method for Similarity Indexing of Market Basket Data.
SIGMOD Conference 1999: 407-418 |
| 17 | EE | Charu C. Aggarwal,
Cecilia Magdalena Procopiuc,
Joel L. Wolf,
Philip S. Yu,
Jong Soo Park:
Fast Algorithms for Projected Clustering.
SIGMOD Conference 1999: 61-72 |
| 16 | EE | Charu C. Aggarwal,
Joel L. Wolf,
Philip S. Yu:
Caching on the World Wide Web.
IEEE Trans. Knowl. Data Eng. 11(1): 95-107 (1999) |
| 15 | EE | Charu C. Aggarwal,
Joel L. Wolf,
Philip S. Yu,
Marina Epelman:
Using Unbalanced Trees for Indexing Multidimensional Objects.
Knowl. Inf. Syst. 1(3): 157-192 (1999) |
| 14 | EE | Charu C. Aggarwal,
Joel L. Wolf,
Philip S. Yu:
Design and Analysis of Permutation-Based Pyramid Broadcasting.
Multimedia Syst. 7(6): 439-448 (1999) |
| 1998 |
|---|
| 13 | EE | Charu C. Aggarwal,
Zheng Sun,
Philip S. Yu:
Online Algorithms for Finding Profile Association Rules.
CIKM 1998: 86-95 |
| 12 | EE | Charu C. Aggarwal,
Philip S. Yu:
Online Generation of Association Rules.
ICDE 1998: 402-411 |
| 11 | | Charu C. Aggarwal,
Zheng Sun,
Philip S. Yu:
Online Generation of Profile Association Rules.
KDD 1998: 129-133 |
| 10 | EE | Charu C. Aggarwal,
Philip S. Yu:
A New Framework For Itemset Generation.
PODS 1998: 18-24 |
| 9 | EE | Charu C. Aggarwal,
Joel L. Wolf,
Philip S. Yu:
A Framework for the Optimizing of WWW Advertising.
Trends in Distributed Systems for Electronic Commerce 1998: 1-10 |
| 8 | EE | Charu C. Aggarwal,
Philip S. Yu:
Mining Large Itemsets for Association Rules.
IEEE Data Eng. Bull. 21(1): 23-31 (1998) |
| 7 | | Charu C. Aggarwal,
Ravindra K. Ahuja,
Jianxiu Hao,
James B. Orlin:
Diagnosing infeasibilities in network flow problems.
Math. Program. 81: 263-280 (1998) |
| 1997 |
|---|
| 6 | EE | Charu C. Aggarwal,
Philip S. Yu:
On Disk Caching of Web Objects in Proxy Servers.
CIKM 1997: 238-245 |
| 5 | EE | Charu C. Aggarwal,
Joel L. Wolf,
Philip S. Yu,
Marina Epelman:
The S-Tree: An Efficient Index for Multidimensional Objects.
SSD 1997: 350-373 |
| 1996 |
|---|
| 4 | | Charu C. Aggarwal,
Joel L. Wolf,
Philip S. Yu:
A Permutation-Based Pyramid Broadcasting Scheme for Video-on-Demand Systems.
ICMCS 1996: 118-126 |
| 3 | | Charu C. Aggarwal,
Joel L. Wolf,
Philip S. Yu:
On Optimal Batching Policies for Video-on-Demand Storage Servers.
ICMCS 1996: 253-258 |
| 2 | | Charu C. Aggarwal,
Joel L. Wolf,
Philip S. Yu:
On Optimal Piggyback Merging Policies for Video-on-Demand Systems.
SIGMETRICS 1996: 200-209 |
| 1995 |
|---|
| 1 | EE | Charu C. Aggarwal,
N. Jain,
P. Gupta:
An Efficient Selection Algorithm on the Pyramid.
Inf. Process. Lett. 53(1): 37-47 (1995) |
