| 2009 |
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| 122 | CONTOUR: an efficient algorithm for discovering discriminating subsequences. Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Karypis, Charu C. Aggarwal. Data Min. Knowl. Discov. (18): 1-29 (2009). Web SearchBibTeXDownload |
| 121 | Classification in Streams. Charu C. Aggarwal. Encyclopedia of Database Systems 2009, 340-341. Web SearchBibTeXDownload |
| 120 | A Framework for Clustering Massive-Domain Data Streams. Charu C. Aggarwal. ICDE 2009, 102-113. Web SearchBibTeXDownload |
| 119 | On Efficient Query Processing of Stream Counts on the Cell Processor. Dina Thomas, Rajesh Bordawekar, Charu C. Aggarwal, Philip S. Yu. ICDE 2009, 748-759. Cited by 2Web SearchBibTeXDownload |
| 118 | On High Dimensional Projected Clustering of Uncertain Data Streams. Charu C. Aggarwal. ICDE 2009, 1152-1154. Web SearchBibTeXDownload |
| 117 | A Survey of Uncertain Data Algorithms and Applications. Charu C. Aggarwal, Philip S. Yu. IEEE Trans. Knowl. Data Eng. (21): 609-623 (2009). Cited by 7Web SearchBibTeXDownload |
| 116 | Frequent pattern mining with uncertain data. Charu C. Aggarwal, Yan Li, Jianyong Wang, Jing Wang. KDD 2009, 29-38. Cited by 1Web SearchBibTeXDownload |
| 115 | On classification and segmentation of massive audio data streams. Charu C. Aggarwal. Knowl. Inf. Syst. (20): 137-156 (2009). Web SearchBibTeXDownload |
| 114 | GConnect: A Connectivity Index for Massive Disk-resident Graphs. Charu C. Aggarwal, Yan Xie, Philip S. Yu. PVLDB (2): 862-873 (2009). Web SearchBibTeXDownload |
| 113 | On Segment-Based Stream Modeling and Its Applications. Charu C. Aggarwal. SDM 2009, 721-732. Web SearchBibTeXDownload |
| 2008 |
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| 112 | On static and dynamic methods for condensation-based privacy-preserving data mining. Charu C. Aggarwal, Philip S. Yu. ACM Trans. Database Syst. (33) (2008). Cited by 2Web SearchBibTeXDownload |
| 111 | A framework for condensation-based anonymization of string data. Charu C. Aggarwal, Philip S. Yu. Data Min. Knowl. Discov. (16): 251-275 (2008). Cited by 1Web SearchBibTeXDownload |
| 110 | A Framework for Clustering Uncertain Data Streams. Charu C. Aggarwal, Philip S. Yu. ICDE 2008, 150-159. Cited by 10Web SearchBibTeXDownload |
| 109 | On High Dimensional Indexing of Uncertain Data. Charu C. Aggarwal, Philip S. Yu. ICDE 2008, 1460-1461. Cited by 2Web SearchBibTeXDownload |
| 108 | On Unifying Privacy and Uncertain Data Models. Charu C. Aggarwal. ICDE 2008, 386-395. Cited by 9Web SearchBibTeXDownload |
| 107 | LOCUST: An Online Analytical Processing Framework for High Dimensional Classification of Data Streams. Charu C. Aggarwal, Philip S. Yu. ICDE 2008, 426-435. Cited by 1Web SearchBibTeXDownload |
| 106 | On Indexing High Demensional Data with Uncertainty. Charu C. Aggarwal, Philip S. Yu. SDM 2008, 621-631. Web SearchBibTeXDownload |
| 105 | Outlier Detection with Uncertain Data. Charu C. Aggarwal, Philip S. Yu. SDM 2008, 483-493. Cited by 7Web SearchBibTeXDownload |
| 2007 |
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| 104 | On Density Based Transforms for Uncertain Data Mining. Charu C. Aggarwal. ICDE 2007, 866-875. Cited by 14Web SearchBibTeXDownload |
| 103 | On Randomization, Public Information and the Curse of Dimensionality. Charu C. Aggarwal. ICDE 2007, 136-145. Cited by 15Web SearchBibTeXDownload |
| 102 | Toward Exploratory Test-Instance-Centered Diagnosis in High-Dimensional Classification. Charu C. Aggarwal. IEEE Trans. Knowl. Data Eng. (19): 1001-1015 (2007). Cited by 1Web SearchBibTeXDownload |
| 101 | A framework for classification and segmentation of massive audio data streams. Charu C. Aggarwal. KDD 2007, 1013-1017. Cited by 2Web SearchBibTeXDownload |
| 100 | Xproj: a framework for projected structural clustering of xml documents. Charu C. Aggarwal, Na Ta, Jianyong Wang, Jianhua Feng, Mohammed Javeed Zaki. KDD 2007, 46-55. Cited by 8Web SearchBibTeXDownload |
| 99 | On string classification in data streams. Charu C. Aggarwal, Philip S. Yu. KDD 2007, 36-45. Web SearchBibTeXDownload |
| 98 | On Privacy-Preservation of Text and Sparse Binary Data with Sketches. Charu C. Aggarwal, Philip S. Yu. SDM 2007. Cited by 5Web SearchBibTeXDownload |
| 97 | Discriminating Subsequence Discovery for Sequence Clustering. Jianyong Wang, Yuzhou Zhang, Lizhu Zhou, George Karypis, Charu C. Aggarwal. SDM 2007. Cited by 3Web SearchBibTeXDownload |
| 96 | On Anonymization of String Data. Charu C. Aggarwal, Philip S. Yu. SDM 2007. Cited by 4Web SearchBibTeXDownload |
| 95 | On Point Sampling Versus Space Sampling for Dimensionality Reduction. Charu C. Aggarwal. SDM 2007. Web SearchBibTeXDownload |
| 94 | Challenges and Experience in Prototyping a Multi-Modal Stream Analytic and Monitoring Application on System S. 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. VLDB 2007, 1185-1196. Cited by 30Web SearchBibTeXDownload |
| 2006 |
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| 93 | On the use of Human-Computer Interaction for Projected Nearest Neighbor Search. Charu C. Aggarwal. Data Min. Knowl. Discov. (13): 89-117 (2006). Cited by 4Web SearchBibTeXDownload |
| 92 | On Futuristic Query Processing in Data Streams. Charu C. Aggarwal. EDBT 2006, 41-58. Cited by 3Web SearchBibTeXDownload |
| 91 | On the Inverse Classification Problem and its Applications. Charu C. Aggarwal, Chen Chen, Jiawei Han. ICDE 2006, 111. Web SearchBibTeXDownload |
| 90 | A Framework for On-Demand Classification of Evolving Data Streams. Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu. IEEE Trans. Knowl. Data Eng. (18): 577-589 (2006). Cited by 11Web SearchBibTeXDownload |
| 89 | On privacy preservation against adversarial data mining. Charu C. Aggarwal, Jian Pei, Bo Zhang. KDD 2006, 510-516. Cited by 12Web SearchBibTeXDownload |
| 88 | XRules: An effective algorithm for structural classification of XML data. Mohammed Javeed Zaki, Charu C. Aggarwal. Machine Learning (62): 137-170 (2006). Cited by 3Web SearchBibTeXDownload |
| 87 | On Temporal Evolution in Data Streams. Charu C. Aggarwal. PKDD 2006, 1. Web SearchBibTeXDownload |
| 86 | Representation is Everything: Towards Efficient and Adaptable Similarity Measures for Biological Data. Charu C. Aggarwal. SDM 2006. Web SearchBibTeXDownload |
| 85 | A Framework for Local Supervised Dimensionality Reduction of High Dimensional Data. Charu C. Aggarwal. SDM 2006. Web SearchBibTeXDownload |
| 84 | A Framework for Clustering Massive Text and Categorical Data Streams. Charu C. Aggarwal, Philip S. Yu. SDM 2006. Cited by 15Web SearchBibTeXDownload |
| 83 | On Biased Reservoir Sampling in the Presence of Stream Evolution. Charu C. Aggarwal. VLDB 2006, 607-618. Cited by 24Web SearchBibTeXDownload |
| 2005 |
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| 82 | On the Use of Wavelet Decomposition for String Classification. Charu C. Aggarwal, Paul S. Bradley. Data Min. Knowl. Discov. (10): 117-139 (2005). Cited by 5Web SearchBibTeXDownload |
| 81 | On High Dimensional Projected Clustering of Data Streams. Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu. Data Min. Knowl. Discov. (10): 251-273 (2005). Cited by 10Web SearchBibTeXDownload |
| 80 | CSR: Speaker Recognition from Compressed VoIP Packet Stream. Charu C. Aggarwal, David P. Olshefski, Debanjan Saha, Zon-Yin Shae, Philip S. Yu. ICME 2005, 970-973. Cited by 8Web SearchBibTeXDownload |
| 79 | On Change Diagnosis in Evolving Data Streams. Charu C. Aggarwal. IEEE Trans. Knowl. Data Eng. (17): 587-600 (2005). Cited by 25Web SearchBibTeXDownload |
| 78 | Towards exploratory test instance specific algorithms for high dimensional classification. Charu C. Aggarwal. KDD 2005, 526-531. Cited by 4Web SearchBibTeXDownload |
| 77 | Online Analysis of Community Evolution in Data Streams. Charu C. Aggarwal, Philip S. Yu. SDM 2005. Cited by 13Web SearchBibTeX |
| 76 | On Abnormality Detection in Spuriously Populated Data Streams. Charu C. Aggarwal. SDM 2005. Cited by 16Web SearchBibTeX |
| 75 | On Variable Constraints in Privacy Preserving Data Mining. Charu C. Aggarwal, Philip S. Yu. SDM 2005. Cited by 7Web SearchBibTeX |
| 74 | On k-Anonymity and the Curse of Dimensionality. Charu C. Aggarwal. VLDB 2005, 901-909. Cited by 135Web SearchBibTeXDownload |
| 73 | An effective and efficient algorithm for high-dimensional outlier detection. Charu C. Aggarwal, Philip S. Yu. VLDB J. (14): 211-221 (2005). Cited by 46Web SearchBibTeXDownload |
| 72 | On Clustering Techniques for Change Diagnosis in Data Streams. Charu C. Aggarwal, Philip S. Yu. WEBKDD 2005, 139-157. Web SearchBibTeXDownload |
| 2004 |
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| 71 | On Leveraging User Access Patterns for Topic Specific Crawling. Charu C. Aggarwal. Data Min. Knowl. Discov. (9): 123-145 (2004). Cited by 10Web SearchBibTeXDownload |
| 70 | A Condensation Approach to Privacy Preserving Data Mining. Charu C. Aggarwal, Philip S. Yu. EDBT 2004, 183-199. Cited by 120Web SearchBibTeXDownload |
| 69 | On Using Partial Supervision for Text Categorization. Charu C. Aggarwal, Stephen C. Gates, Philip S. Yu. IEEE Trans. Knowl. Data Eng. (16): 245-255 (2004). Cited by 15Web SearchBibTeXDownload |
| 68 | An Efficient Subspace Sampling Framework for High-Dimensional Data Reduction, Selectivity Estimation, and Nearest-Neighbor Search. Charu C. Aggarwal. IEEE Trans. Knowl. Data Eng. (16): 1247-1262 (2004). Cited by 5Web SearchBibTeXDownload |
| 67 | A Human-Computer Interactive Method for Projected Clustering. Charu C. Aggarwal. IEEE Trans. Knowl. Data Eng. (16): 448-460 (2004). Cited by 15Web SearchBibTeXDownload |
| 66 | On demand classification of data streams. Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu. KDD 2004, 503-508. Cited by 92Web SearchBibTeXDownload |
| 65 | A Framework for Projected Clustering of High Dimensional Data Streams. Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu. VLDB 2004, 852-863. Cited by 130Web SearchBibTeXDownload |
| 2003 |
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| 64 | On the Use of Conceptual Reconstruction for Mining Massively Incomplete Data Sets. Srinivasan Parthasarathy, Charu C. Aggarwal. IEEE Trans. Knowl. Data Eng. (15): 1512-1521 (2003). Cited by 11Web SearchBibTeXDownload |
| 63 | XRules: an effective structural classifier for XML data. Mohammed Javeed Zaki, Charu C. Aggarwal. KDD 2003, 316-325. Cited by 132Web SearchBibTeXDownload |
| 62 | Towards systematic design of distance functions for data mining applications. Charu C. Aggarwal. KDD 2003, 9-18. Cited by 36Web SearchBibTeXDownload |
| 61 | On nearest neighbor indexing of nonlinear trajectories. Charu C. Aggarwal, Dakshi Agrawal. PODS 2003, 252-259. Cited by 29Web SearchBibTeXDownload |
| 60 | A Framework for Change Diagnosis of Data Streams. Charu C. Aggarwal. SIGMOD Conference 2003, 575-586. Cited by 6Web SearchBibTeXDownload |
| 59 | A Framework for Clustering Evolving Data Streams. Charu C. Aggarwal, Jiawei Han, Jianyong Wang, Philip S. Yu. VLDB 2003, 81-92. Cited by 399Web SearchBibTeXDownload |
| 2002 |
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| 58 | An Intuitive Framework for Understanding Changes in Evolving Data Streams. Charu C. Aggarwal. ICDE 2002, 261. Cited by 106Web SearchBibTeXDownload |
| 57 | Towards Meaningful High-Dimensional Nearest Neighbor Search by Human-Computer Interaction. Charu C. Aggarwal. ICDE 2002, 593-604. Cited by 14Web SearchBibTeXDownload |
| 56 | Redefining Clustering for High-Dimensional Applications. Charu C. Aggarwal, Philip S. Yu. IEEE Trans. Knowl. Data Eng. (14): 210-225 (2002). Cited by 55Web SearchBibTeXDownload |
| 55 | Fast Algorithms for Online Generation of Profile Association Rules. Charu C. Aggarwal, Zheng Sun, Philip S. Yu. IEEE Trans. Knowl. Data Eng. (14): 1017-1028 (2002). Cited by 6Web SearchBibTeXDownload |
| 54 | Finding Localized Associations in Market Basket Data. Charu C. Aggarwal, Cecilia Magdalena Procopiuc, Philip S. Yu. IEEE Trans. Knowl. Data Eng. (14): 51-62 (2002). Cited by 42Web SearchBibTeXDownload |
| 53 | On effective classification of strings with wavelets. Charu C. Aggarwal. KDD 2002, 163-172. Cited by 13Web SearchBibTeXDownload |
| 52 | Collaborative crawling: mining user experiences for topical resource discovery. Charu C. Aggarwal. KDD 2002, 423-428. Cited by 16Web SearchBibTeXDownload |
| 51 | Adaptive Piggybacking Schemes for Video-On-Demand Systems. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu. Multimedia Tools Appl. (16): 231-250 (2002). Cited by 3Web SearchBibTeX |
| 50 | On multiroute maximum flows in networks. Charu C. Aggarwal, James B. Orlin. Networks (39): 43-52 (2002). Cited by 26Web SearchBibTeXDownload |
| 49 | Towards Effective and Interpretable Data Mining by Visual Interaction. Charu C. Aggarwal. SIGKDD Explorations (3): 11-22 (2002). Cited by 29Web SearchBibTeXDownload |
| 48 | Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neighbor search. Charu C. Aggarwal. SIGMOD Conference 2002, 452-463. Web SearchBibTeXDownload |
| 47 | An Automated System for Web Portal Personalization. Charu C. Aggarwal, Philip S. Yu. VLDB 2002, 1031-1040. Cited by 10Web SearchBibTeXDownload |
| 2001 |
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| 46 | On the design of a learning crawler for topical resource discovery. Charu C. Aggarwal, Fatima Al-Garawi, Philip S. Yu. ACM Trans. Inf. Syst. (19): 286-309 (2001). Cited by 24Web SearchBibTeXDownload |
| 45 | Effective Nearest Neighbor Indexing with the Euclidean Metric. Sang-Wook Kim, Charu C. Aggarwal, Philip S. Yu. CIKM 2001, 9-16. Cited by 4Web SearchBibTeX |
| 44 | On Effective Conceptual Indexing and Similarity Search in Text Data. Charu C. Aggarwal, Philip S. Yu. ICDM 2001, 3-10. Cited by 19Web SearchBibTeXDownload |
| 43 | On the Surprising Behavior of Distance Metrics in High Dimensional Spaces. Charu C. Aggarwal, Alexander Hinneburg, Daniel A. Keim. ICDT 2001, 420-434. Cited by 257Web SearchBibTeXDownload |
| 42 | The Maximum Factor Queue Length Batching Scheme for Video-on-Demand Systems. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu. IEEE Trans. Computers (50): 97-110 (2001). Cited by 76Web SearchBibTeXDownload |
| 41 | Mining Associations with the Collective Strength Approach. Charu C. Aggarwal, Philip S. Yu. IEEE Trans. Knowl. Data Eng. (13): 863-873 (2001). Cited by 15Web SearchBibTeXDownload |
| 40 | A New Approach to Online Generation of Association Rules. Charu C. Aggarwal, Philip S. Yu. IEEE Trans. Knowl. Data Eng. (13): 527-540 (2001). Cited by 71Web SearchBibTeXDownload |
| 39 | A Tree Projection Algorithm for Generation of Frequent Item Sets. Ramesh C. Agarwal, Charu C. Aggarwal, V. V. V. Prasad. J. Parallel Distrib. Comput. (61): 350-371 (2001). Cited by 372Web SearchBibTeXDownload |
| 38 | A human-computer cooperative system for effective high dimensional clustering. Charu C. Aggarwal. KDD 2001, 221-226. Cited by 30Web SearchBibTeXDownload |
| 37 | Mining massively incomplete data sets by conceptual reconstruction. Charu C. Aggarwal, Srinivasan Parthasarathy. KDD 2001, 227-232. Cited by 23Web SearchBibTeXDownload |
| 36 | On the Design and Quantification of Privacy Preserving Data Mining Algorithms. Dakshi Agrawal, Charu C. Aggarwal. PODS 2001. Cited by 449Web SearchBibTeXDownload |
| 35 | On the Effects of Dimensionality Reduction on High Dimensional Similarity Search. Charu C. Aggarwal. PODS 2001. Cited by 59Web SearchBibTeXDownload |
| 34 | Towards Long Pattern Generation in Dense Databases. Charu C. Aggarwal. SIGKDD Explorations (3): 20-26 (2001). Cited by 19Web SearchBibTeXDownload |
| 33 | Outlier Detection for High Dimensional Data. Charu C. Aggarwal, Philip S. Yu. SIGMOD Conference 2001, 37-46. Cited by 304Web SearchBibTeXDownload |
| 32 | Re-designing Distance Functions and Distance-Based Applications for High Dimensional Data. Charu C. Aggarwal. SIGMOD Record (30): 13-18 (2001). Cited by 42Web SearchBibTeXDownload |
| 31 | Intelligent crawling on the World Wide Web with arbitrary predicates. Charu C. Aggarwal, Fatima Al-Garawi, Philip S. Yu. WWW 2001, 96-105. Cited by 216Web SearchBibTeXDownload |
| 2000 |
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| 30 | The Intelligent Recommendation Analyzer. Charu C. Aggarwal, Joel L. Wolf, Kun-Lung Wu, Philip S. Yu. ICDCS Workshop of Knowledge Discovery and Data Mining in the World-Wide Web 2000, F67-F72. Cited by 6Web SearchBibTeX |
| 29 | Data Mining Techniques for Personalization. Charu C. Aggarwal, Philip S. Yu. IEEE Data Eng. Bull. (23): 4-9 (2000). Cited by 29Web SearchBibTeXDownload |
| 28 | Depth first generation of long patterns. Ramesh C. Agarwal, Charu C. Aggarwal, V. V. V. Prasad. KDD 2000, 108-118. Cited by 250Web SearchBibTeXDownload |
| 27 | The IGrid index: reversing the dimensionality curse for similarity indexing in high dimensional space. Charu C. Aggarwal, Philip S. Yu. KDD 2000, 119-129. Cited by 36Web SearchBibTeXDownload |
| 26 | Finding Generalized Projected Clusters In High Dimensional Spaces. Charu C. Aggarwal, Philip S. Yu. SIGMOD Conference 2000, 70-81. Cited by 338Web SearchBibTeX |
| 25 | Reminiscences on Influential Papers. Kenneth A. Ross, Mary F. Fernandez, Anant Jhingran, Per-Åke Larson, Daniel J. Rosenkrantz, Tova Milo, Dan Suciu, Raghu Ramakrishnan, Philip S. Yu, Timos K. Sellis, Patrick Valduriez. SIGMOD Record (29): 52-65 (2000). Web SearchBibTeXDownload |
| 24 | What Is the Nearest Neighbor in High Dimensional Spaces?. Alexander Hinneburg, Charu C. Aggarwal, Daniel A. Keim. VLDB 2000, 506-515. Cited by 228Web SearchBibTeX |
| 1999 |
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| 23 | Caching on the World Wide Web. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu. IEEE Trans. Knowl. Data Eng. (11): 95-107 (1999). Cited by 296Web SearchBibTeXDownload |
| 22 | Horting Hatches an Egg: A New Graph-Theoretic Approach to Collaborative Filtering. Charu C. Aggarwal, Joel L. Wolf, Kun-Lung Wu, Philip S. Yu. KDD 1999, 201-212. Cited by 241Web SearchBibTeXDownload |
| 21 | On the Merits of Building Categorization Systems by Supervised Clustering. Charu C. Aggarwal, Stephen C. Gates, Philip S. Yu. KDD 1999, 352-356. Cited by 90Web SearchBibTeXDownload |
| 20 | Using Unbalanced Trees for Indexing Multidimensional Objects. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu, Marina Epelman. Knowl. Inf. Syst. (1): 157-192 (1999). Cited by 6Web SearchBibTeXDownload |
| 19 | Optimizing Profits in the Broadcast Delivery of Multimedia Products. Charu C. Aggarwal, Mark S. Squillante, Joel L. Wolf, Philip S. Yu, Jay Sethuraman. Multimedia Information Systems 1999, 88-95. Cited by 6Web SearchBibTeX |
| 18 | Design and Analysis of Permutation-Based Pyramid Broadcasting. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu. Multimedia Syst. (7): 439-448 (1999). Cited by 19Web SearchBibTeXDownload |
| 17 | Data Mining Techniques for Associations, Clustering and Classification. Charu C. Aggarwal, Philip S. Yu. PAKDD 1999, 13-23. Cited by 19Web SearchBibTeXDownload |
| 16 | On Text Mining Techniques for Personalization. Charu C. Aggarwal, Philip S. Yu. RSFDGrC 1999, 12-18. Cited by 12Web SearchBibTeX |
| 15 | Fast Algorithms for Projected Clustering. Charu C. Aggarwal, Cecilia Magdalena Procopiuc, Joel L. Wolf, Philip S. Yu, Jong Soo Park. SIGMOD Conference 1999, 61-72. Cited by 470Web SearchBibTeX |
| 14 | A New Method for Similarity Indexing of Market Basket Data. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu. SIGMOD Conference 1999, 407-418. Cited by 45Web SearchBibTeX |
| 1998 |
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| 13 | Online Algorithms for Finding Profile Association Rules. Charu C. Aggarwal, Zheng Sun, Philip S. Yu. CIKM 1998, 86-95. Cited by 25Web SearchBibTeX |
| 12 | Online Generation of Association Rules. Charu C. Aggarwal, Philip S. Yu. ICDE 1998, 402-411. Cited by 126Web SearchBibTeX |
| 11 | Mining Large Itemsets for Association Rules. Charu C. Aggarwal, Philip S. Yu. IEEE Data Eng. Bull. (21): 23-31 (1998). Cited by 58Web SearchBibTeX |
| 10 | Online Generation of Profile Association Rules. Charu C. Aggarwal, Zheng Sun, Philip S. Yu. KDD 1998, 129-133. Cited by 28Web SearchBibTeX |
| 9 | Diagnosing infeasibilities in network flow problems. Charu C. Aggarwal, Ravindra K. Ahuja, Jianxiu Hao, James B. Orlin. Math. Program. (81): 263-280 (1998). Cited by 9Web SearchBibTeX |
| 8 | A New Framework For Itemset Generation. Charu C. Aggarwal, Philip S. Yu. PODS 1998, 18-24. Cited by 99Web SearchBibTeX |
| 7 | A Framework for the Optimizing of WWW Advertising. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu. Trends in Distributed Systems for Electronic Commerce 1998, 1-10. Cited by 19Web SearchBibTeXDownload |
| 1997 |
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| 6 | On Disk Caching of Web Objects in Proxy Servers. Charu C. Aggarwal, Philip S. Yu. CIKM 1997, 238-245. Cited by 24Web SearchBibTeXDownload |
| 5 | The S-Tree: An Efficient Index for Multidimensional Objects. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu, Marina Epelman. SSD 1997, 350-373. Cited by 20Web SearchBibTeXDownload |
| 1996 |
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| 4 | A Permutation-Based Pyramid Broadcasting Scheme for Video-on-Demand Systems. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu. ICMCS 1996, 118-126. Cited by 253Web SearchBibTeX |
| 3 | On Optimal Batching Policies for Video-on-Demand Storage Servers. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu. ICMCS 1996, 253-258. Cited by 241Web SearchBibTeX |
| 2 | On Optimal Piggyback Merging Policies for Video-on-Demand Systems. Charu C. Aggarwal, Joel L. Wolf, Philip S. Yu. SIGMETRICS 1996, 200-209. Cited by 110Web SearchBibTeX |
| 1995 |
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| 1 | An Efficient Selection Algorithm on the Pyramid. Charu C. Aggarwal, N. Jain, P. Gupta. Inf. Process. Lett. (53): 37-47 (1995). Cited by 11Web SearchBibTeXDownload |
