Kyuseok Shim

Kyuseok Shim: MapReduce Algorithms for Big Data Analysis. DNIS 2013: 44-48

Kyuseok Shim: MapReduce Algorithms for Big Data Analysis. PVLDB 5(12): 2016-2017 (2012)

Kyuseok Shim, Sang Kyun Cha, Lei Chen, Wook-Shin Han, Divesh Srivastava, Katsumi Tanaka, Hwanjo Yu, Xiaofang Zhou: Data Management Challenges and Opportunities in Cloud Computing. DASFAA (2) 2012: 323

Younghoon Kim, Kyuseok Shim: HotDigg: Finding Recent Hot Topics from Digg. DASFAA (1) 2012: 414-427

Younghoon Kim, Kyuseok Shim: Parallel Top-K Similarity Join Algorithms Using MapReduce. ICDE 2012: 510-521

Chulyun Kim, Hui Miao, Kyuseok Shim: CATCH: A detecting algorithm for coalition attacks of hit inflation in internet advertising. Inf. Syst. 36(8): 1105-1123 (2011)

Hongrae Lee, Raymond T. Ng, Kyuseok Shim: Similarity Join Size Estimation using Locality Sensitive Hashing. PVLDB 4(6): 338-349 (2011)

Chulyun Kim, Kyuseok Shim: TEXT: Automatic Template Extraction from Heterogeneous Web Pages. IEEE Trans. Knowl. Data Eng. 23(4): 612-626 (2011)

Younghoon Kim, Kyuseok Shim: TWITOBI: A Recommendation System for Twitter Using Probabilistic Modeling. ICDM 2011: 340-349

Hongrae Lee, Raymond T. Ng, Kyuseok Shim: Similarity Join Size Estimation using Locality Sensitive Hashing. CoRR abs/1104.3212 (2011)

Hyoungmin Park, Kyuseok Shim: Approximate algorithms with generalizing attribute values for k-anonymity. Inf. Syst. 35(8): 933-955 (2010)

Younghoon Kim, Kyoung-Gu Woo, Hyoungmin Park, Kyuseok Shim: Efficient processing of substring match queries with inverted q-gram indexes. ICDE 2010: 721-732

Hyoungmin Park, Kyuseok Shim: FAST: Flash-aware external sorting for mobile database systems. Journal of Systems and Software 82(8): 1298-1312 (2009)

Hongrae Lee, Raymond T. Ng, Kyuseok Shim: Power-Law Based Estimation of Set Similarity Join Size. PVLDB 2(1): 658-669 (2009)

Hongrae Lee, Raymond T. Ng, Kyuseok Shim: Approximate substring selectivity estimation. EDBT 2009: 827-838

Sudipto Guha, Hyoungmin Park, Kyuseok Shim: Wavelet synopsis for hierarchical range queries with workloads. VLDB J. 17(5): 1079-1099 (2008)

Chulyun Kim, Jong-Hwa Lim, Raymond T. Ng, Kyuseok Shim: SQUIRE: Sequential pattern mining with quantities. Journal of Systems and Software 80(10): 1726-1745 (2007)

Sudipto Guha, Kyuseok Shim: A Note on Linear Time Algorithms for Maximum Error Histograms. IEEE Trans. Knowl. Data Eng. 19(7): 993-997 (2007)

Hyoungmin Park, Kyuseok Shim: Approximate algorithms for K-anonymity. SIGMOD Conference 2007: 67-78

Hongrae Lee, Raymond T. Ng, Kyuseok Shim: Extending Q-Grams to Estimate Selectivity of String Matching with Low Edit Distance. VLDB 2007: 195-206

Jun-Ki Min, Chin-Wan Chung, Kyuseok Shim: Erratum to: "An adaptive path index for XML data using the query workload": [Information Systems 30(6) (2005) 467-487]. Inf. Syst. 31(2): 148 (2006)

Sudipto Guha, Nick Koudas, Kyuseok Shim: Approximation and streaming algorithms for histogram construction problems. ACM Trans. Database Syst. 31(1): 396-438 (2006)

Jun-Ki Min, Chin-Wan Chung, Kyuseok Shim: An adaptive path index for XML data using the query workload. Inf. Syst. 30(6): 467-487 (2005)

Surajit Chaudhuri, Zhiyuan Chen, Kyuseok Shim, Yuqing Wu: Storing XML (with XSD) in SQL Databases: Interplay of Logical and Physical Designs. IEEE Trans. Knowl. Data Eng. 17(12): 1595-1609 (2005)

Sudipto Guha, Kyuseok Shim: Offline and Data Stream Algorithms for Efficient Computation of Synopsis Structures. VLDB 2005: 1364

Apostol Natsev, Rajeev Rastogi, Kyuseok Shim: WALRUS: A Similarity Retrieval Algorithm for Image Databases. IEEE Trans. Knowl. Data Eng. 16(3): 301-316 (2004)

Chulyun Kim, Jong-Hwa Lim, Raymond T. Ng, Kyuseok Shim: SQUIRE: Sequential Pattern Mining with Quantities. ICDE 2004: 827

Surajit Chaudhuri, Zhiyuan Chen, Kyuseok Shim, Yuqing Wu: Storing XML (with XSD) in SQL Databases: Interplay of Logical and Physical Designs. ICDE 2004: 842

Sudipto Guha, Chulyun Kim, Kyuseok Shim: XWAVE: Approximate Extended Wavelets for Streaming Data. VLDB 2004: 288-299

Sudipto Guha, Kyuseok Shim, Jungchul Woo: REHIST: Relative Error Histogram Construction Algorithms. VLDB 2004: 300-311

Kyuseok Shim: Recent Advances in Histogram Construction Algorithms. WAIM 2004: 23

Minos N. Garofalakis, Aristides Gionis, Rajeev Rastogi, S. Seshadri, Kyuseok Shim: XTRACT: Learning Document Type Descriptors from XML Document Collections. Data Min. Knowl. Discov. 7(1): 23-56 (2003)

Minos N. Garofalakis, Dongjoon Hyun, Rajeev Rastogi, Kyuseok Shim: Building Decision Trees with Constraints. Data Min. Knowl. Discov. 7(2): 187-214 (2003)

Minos N. Garofalakis, Aristides Gionis, Rajeev Rastogi, S. Seshadri, Kyuseok Shim: DTD Inference from XML Documents: The XTRACT Approach. IEEE Data Eng. Bull. 26(3): 19-25 (2003)

Sergey Brin, Rajeev Rastogi, Kyuseok Shim: Mining Optimized Gain Rules for Numeric Attributes. IEEE Trans. Knowl. Data Eng. 15(2): 324-338 (2003)

Sudipto Guha, Rajeev Rastogi, Kyuseok Shim: Techniques for Clustering Massive Data Sets. Clustering and Information Retrieval 2003: 35-82

Surajit Chaudhuri, Kyuseok Shim: Storage and Retrieval of XML Data using Relational Databases. ICDE 2003: 802

Kyu-Young Whang, Jongwoo Jeon, Kyuseok Shim, Jaideep Srivastava (Eds.): Advances in Knowledge Discovery and Data Mining, 7th Pacific-Asia Conference, PAKDD 2003, Seoul, Korea, April 30 - May 2, 2003, Proceedings. Lecture Notes in Computer Science 2637, Springer 2003, isbn 3-540-04760-3

Kenneth A. Ross, Mary F. Fernandez, Kyuseok Shim: Reminiscences on Influential Papers. SIGMOD Record 31(2): 63-64 (2002)

Rajeev Rastogi, Kyuseok Shim: Mining Optimized Association Rules with Categorical and Numeric Attributes. IEEE Trans. Knowl. Data Eng. 14(1): 29-50 (2002)

Kyuseok Shim, Ramakrishnan Srikant, Rakesh Agrawal: High-Dimensional Similarity Joins. IEEE Trans. Knowl. Data Eng. 14(1): 156-171 (2002)

Minos N. Garofalakis, Rajeev Rastogi, Kyuseok Shim: Mining Sequential Patterns with Regular Expression Constraints. IEEE Trans. Knowl. Data Eng. 14(3): 530-552 (2002)

Chin-Wan Chung, Jun-Ki Min, Kyuseok Shim: APEX: an adaptive path index for XML data. SIGMOD Conference 2002: 121-132

Sudipto Guha, Rajeev Rastogi, Kyuseok Shim: Cure: An Efficient Clustering Algorithm for Large Databases. Inf. Syst. 26(1): 35-58 (2001)

Rajeev Rastogi, Kyuseok Shim: Mining optimized support rules for numeric attributes. Inf. Syst. 26(6): 425-444 (2001)

Kaushik Chakrabarti, Minos N. Garofalakis, Rajeev Rastogi, Kyuseok Shim: Approximate query processing using wavelets. VLDB J. 10(2-3): 199-223 (2001)

Sudipto Guha, Nick Koudas, Kyuseok Shim: Data-streams and histograms. STOC 2001: 471-475

Surajit Chaudhuri, Kyuseok Shim: Storage and Retrieval of XML Data Using Relational Databases. VLDB 2001

Rajeev Rastogi, Kyuseok Shim: PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning. Data Min. Knowl. Discov. 4(4): 315-344 (2000)

Sudipto Guha, Rajeev Rastogi, Kyuseok Shim: ROCK: A Robust Clustering Algorithm for Categorical Attributes. Inf. Syst. 25(5): 345-366 (2000)

Kyuseok Shim, Ramakrishnan Srikant: Workshop Report: 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery. SIGKDD Explorations 1(2): 115-116 (2000)

Paul S. Bradley, Usama M. Fayyad, Sunita Sarawagi, Kyuseok Shim: Editorial. SIGKDD Explorations 2(2) (2000)

Minos N. Garofalakis, Dongjoon Hyun, Rajeev Rastogi, Kyuseok Shim: Efficient algorithms for constructing decision trees with constraints. KDD 2000: 335-339

Minos N. Garofalakis, Aristides Gionis, Rajeev Rastogi, S. Seshadri, Kyuseok Shim: XTRACT: A System for Extracting Document Type Descriptors from XML Documents. SIGMOD Conference 2000: 165-176

Sridhar Ramaswamy, Rajeev Rastogi, Kyuseok Shim: Efficient Algorithms for Mining Outliers from Large Data Sets. SIGMOD Conference 2000: 427-438

Kaushik Chakrabarti, Minos N. Garofalakis, Rajeev Rastogi, Kyuseok Shim: Approximate Query Processing Using Wavelets. VLDB 2000: 111-122

Surajit Chaudhuri, Kyuseok Shim: Optimization of Queries with User-Defined Predicates. ACM Trans. Database Syst. 24(2): 177-228 (1999)

Rajeev Rastogi, Kyuseok Shim: Mining Optimized Support Rules for Numeric Attributes. ICDE 1999: 206-215

Sudipto Guha, Rajeev Rastogi, Kyuseok Shim: ROCK: A Robust Clustering Algorithm for Categorical Attributes. ICDE 1999: 512-521

Rajeev Rastogi, Kyuseok Shim: Scalable Algorithms for Mining Large Databases. KDD Tutorial Notes 1999: 73-140

Sergey Brin, Rajeev Rastogi, Kyuseok Shim: Mining Optimized Gain Rules for Numeric Attributes. KDD 1999: 135-144

Apostol Natsev, Rajeev Rastogi, Kyuseok Shim: WALRUS: A Similarity Retrieval Algorithm for Image Databases. SIGMOD Conference 1999: 395-406

Minos N. Garofalakis, Sridhar Ramaswamy, Rajeev Rastogi, Kyuseok Shim: Of Crawlers, Portals, Mice and Men: Is there more to Mining the Web? (Panel). SIGMOD Conference 1999: 504

Minos N. Garofalakis, Rajeev Rastogi, Kyuseok Shim: SPIRIT: Sequential Pattern Mining with Regular Expression Constraints. VLDB 1999: 223-234

Minos N. Garofalakis, Rajeev Rastogi, S. Seshadri, Kyuseok Shim: Data Mining and the Web: Past, Present and Future. Workshop on Web Information and Data Management 1999: 43-47

Gabriel M. Kuper, Sridhar Ramaswamy, Kyuseok Shim, Jianwen Su: A Constraint-Based Spatial Extension to SQL. ACM-GIS 1998: 112-117

Rajeev Rastogi, Kyuseok Shim: Mining Optimized Association Rules with Categorical and Numeric Attributes. ICDE 1998: 503-512

Sudipto Guha, Rajeev Rastogi, Kyuseok Shim: CURE: An Efficient Clustering Algorithm for Large Databases. SIGMOD Conference 1998: 73-84

Rajeev Rastogi, Kyuseok Shim: PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning. VLDB 1998: 404-415

Yannis E. Ioannidis, Raymond T. Ng, Kyuseok Shim, Timos K. Sellis: Parametric Query Optimization. VLDB J. 6(2): 132-151 (1997)

Kyuseok Shim, Ramakrishnan Srikant, Rakesh Agrawal: High-Dimensional Similarity Joins. ICDE 1997: 301-311

Surajit Chaudhuri, Kyuseok Shim: Optimizing Queries with Aggregate Views. EDBT 1996: 167-182

Rakesh Agrawal, Kyuseok Shim: Developing Tightly-Coupled Data Mining Applications on a Relational Database System. KDD 1996: 287-290

Surajit Chaudhuri, Kyuseok Shim: Optimization of Queries with User-defined Predicates. VLDB 1996: 87-98

Surajit Chaudhuri, Kyuseok Shim: An Overview of Cost-based Optimization of Queries with Aggregates. IEEE Data Eng. Bull. 18(3): 3-9 (1995)

Surajit Chaudhuri, Ravi Krishnamurthy, Spyros Potamianos, Kyuseok Shim: Optimizing Queries with Materialized Views. ICDE 1995: 190-200

Rakesh Agrawal, King-Ip Lin, Harpreet S. Sawhney, Kyuseok Shim: Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases. VLDB 1995: 490-501

Kyuseok Shim, Timos K. Sellis, Dana S. Nau: Improvements on a Heuristic Algorithm for Multiple-Query Optimization. Data Knowl. Eng. 12(2): 197-222 (1994)

Surajit Chaudhuri, Kyuseok Shim: Including Group-By in Query Optimization. VLDB 1994: 354-366

Surajit Chaudhuri, Kyuseok Shim: Query Optimization in the Presence of Foreign Functions. VLDB 1993: 529-542

Yannis E. Ioannidis, Raymond T. Ng, Kyuseok Shim, Timos K. Sellis: Parametric Query Optimization. VLDB 1992: 103-114