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2020 – today
- 2023
- [j55]Sihem Amer-Yahia, Angela Bonifati, Lei Chen, Guoliang Li, Kyuseok Shim, Jianliang Xu, Xiaochun Yang:
From Large Language Models to Databases and Back: A Discussion on Research and Education. SIGMOD Rec. 52(3): 49-56 (2023) - [j54]Daeyoung Hong
, Woohwan Jung
Collecting Geospatial Data Under Local Differential Privacy With Improving Frequency Estimation. IEEE Trans. Knowl. Data Eng. 35(7): 6739-6751 (2023) - [c59]Seongwoong Oh, Woohwan Jung, Kyuseok Shim:
THUNDER: Named Entity Recognition Using a Teacher-Student Model with Dual Classifiers for Strong and Weak Supervisions. ECAI 2023: 1795-1802 - [i4]Sihem Amer-Yahia, Angela Bonifati, Lei Chen, Guoliang Li, Kyuseok Shim, Jianliang Xu, Xiaochun Yang:
From Large Language Models to Databases and Back: A discussion on research and education. CoRR abs/2306.01388 (2023) - 2022
- [j53]Suyong Kwon, Woohwan Jung, Kyuseok Shim:
Cardinality Estimation of Approximate Substring Queries using Deep Learning. Proc. VLDB Endow. 15(11): 3145-3157 (2022) - [c58]Gwangho Song, Hongrae Lee, Kyuseok Shim:
T5 Encoder Based Acronym Disambiguation with Weak Supervision. SDU@AAAI 2022 - 2021
- [j52]Woohwan Jung
TIDY: Publishing a Time Interval Dataset With Differential Privacy. IEEE Trans. Knowl. Data Eng. 33(5): 2280-2294 (2021) - [c57]Gwangho Song, Kyuseok Shim, Hongrae Lee:
Substring Similarity Search with Synonyms. ICDE 2021: 2003-2008 - [c56]Daeyoung Hong, Woohwan Jung, Kyuseok Shim:
Collecting Geospatial Data with Local Differential Privacy for Personalized Services. ICDE 2021: 2237-2242 - 2020
- [c55]Woohwan Jung, Kyuseok Shim:
T-REX: A Topic-Aware Relation Extraction Model. CIKM 2020: 2073-2076 - [c54]Woohwan Jung, Kyuseok Shim:
Dual Supervision Framework for Relation Extraction with Distant Supervision and Human Annotation. COLING 2020: 6411-6423 - [c53]Gwangho Song, Hongrae Lee, Kyuseok Shim, Yoonjae Park, Wooyeol Kim:
String Joins with Synonyms. DASFAA (3) 2020: 389-405 - [c52]Woohwan Jung, Suyong Kwon, Kyuseok Shim:
TIDY: Publishing a Time Interval Dataset with Differential Privacy (Extended abstract). ICDE 2020: 2020-2021 - [i3]Woohwan Jung, Kyuseok Shim:
Dual Supervision Framework for Relation Extraction with Distant Supervision and Human Annotation. CoRR abs/2011.11851 (2020)
2010 – 2019
- 2019
- [j51]Jun-Ki Min
Efficient Aggregation Processing in the Presence of Duplicately Detected Objects in WSNs. J. Sensors 2019: 1496208:1-1496208:15 (2019) - [j50]Jinhyun Kim, Jun-Ki Min
Efficient two-dimensional Haar + synopsis construction for the maximum absolute error measure. VLDB J. 28(5): 675-701 (2019) - [c51]Woohwan Jung
Crowdsourced Truth Discovery in the Presence of Hierarchies for Knowledge Fusion. EDBT 2019: 205-216 - [e11]Jianyong Wang, Kyuseok Shim, Xindong Wu:
2019 IEEE International Conference on Data Mining, ICDM 2019, Beijing, China, November 8-11, 2019. IEEE 2019, ISBN 978-1-7281-4604-1 [contents] - [i2]Woohwan Jung, Younghoon Kim, Kyuseok Shim:
Crowdsourced Truth Discovery in the Presence of Hierarchies for Knowledge Fusion. CoRR abs/1904.10217 (2019) - 2018
- [j49]Kai Zheng, Feifei Li, Kyuseok Shim:
Preface to the special issue on advances in Spatio-temporal data analysis and management. GeoInformatica 22(1): 1-2 (2018) - 2017
- [j48]Younghoon Kim, Wooyeol Kim, Kyuseok Shim:
Latent ranking analysis using pairwise comparisons in crowdsourcing platforms. Inf. Syst. 65: 7-21 (2017) - [j47]Younghoon Kim, Woohwan Jung, Kyuseok Shim:
Integration of graphs from different data sources using crowdsourcing. Inf. Sci. 385: 438-456 (2017) - [j46]Jinhyun Kim, Jun-Ki Min, Kyuseok Shim:
Efficient Haar+ Synopsis Construction for the Maximum Absolute Error Measure. Proc. VLDB Endow. 11(1): 40-52 (2017) - [j45]Wolfgang Lehner
Special Section on the International Conference on Data Engineering 2015. IEEE Trans. Knowl. Data Eng. 29(3): 497-498 (2017) - [j44]Yoonjae Park, Jun-Ki Min, Kyuseok Shim:
Efficient Processing of Skyline Queries Using MapReduce. IEEE Trans. Knowl. Data Eng. 29(5): 1031-1044 (2017) - [j43]Kai Zheng, Feifei Li, Kyuseok Shim:
Preface to the special issue on big data search and mining. World Wide Web 20(5): 1047-1048 (2017) - [e10]Jinho Kim, Kyuseok Shim, Longbing Cao
Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10234, 2017, ISBN 978-3-319-57453-0 [contents] - [e9]Jinho Kim, Kyuseok Shim, Longbing Cao
Advances in Knowledge Discovery and Data Mining - 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part II. Lecture Notes in Computer Science 10235, 2017, ISBN 978-3-319-57528-5 [contents] - 2016
- [c50]Wooyeol Kim, Younghoon Kim, Kyuseok Shim:
Parallel computation of k-nearest neighbor joins using MapReduce. IEEE BigData 2016: 696-705 - [e8]Feifei Li, Kyuseok Shim, Kai Zheng, Guanfeng Liu:
Web Technologies and Applications - 18th Asia-Pacific Web Conference, APWeb 2016, Suzhou, China, September 23-25, 2016. Proceedings, Part I. Lecture Notes in Computer Science 9931, Springer 2016, ISBN 978-3-319-45813-7 [contents] - [e7]Feifei Li, Kyuseok Shim, Kai Zheng, Guanfeng Liu:
Web Technologies and Applications - 18th Asia-Pacific Web Conference, APWeb 2016, Suzhou, China, September 23-25, 2016. Proceedings, Part II. Lecture Notes in Computer Science 9932, Springer 2016, ISBN 978-3-319-45816-8 [contents] - 2015
- [j42]Chulyun Kim, Kyuseok Shim:
Supporting set-valued joins in NoSQL using MapReduce. Inf. Syst. 49: 52-64 (2015) - [j41]Jun-Ki Min, Raymond T. Ng, Kyuseok Shim:
Aggregate query processing in the presence of duplicates in wireless sensor networks. Inf. Sci. 297: 1-20 (2015) - [j40]Yoonjae Park, Jun-Ki Min, Kyuseok Shim:
Processing of Probabilistic Skyline Queries Using MapReduce. Proc. VLDB Endow. 8(12): 1406-1417 (2015) - [e6]Johannes Gehrke, Wolfgang Lehner, Kyuseok Shim, Sang Kyun Cha, Guy M. Lohman:
31st IEEE International Conference on Data Engineering, ICDE 2015, Seoul, South Korea, April 13-17, 2015. IEEE Computer Society 2015, ISBN 978-1-4799-7964-6 [contents] - 2014
- [j39]Younghoon Kim, Kyuseok Shim, Min-Soeng Kim, June Sup Lee:
DBCURE-MR: An efficient density-based clustering algorithm for large data using MapReduce. Inf. Syst. 42: 15-35 (2014) - [j38]Younghoon Kim, Kyuseok Shim:
TWILITE: A recommendation system for Twitter using a probabilistic model based on latent Dirichlet allocation. Inf. Syst. 42: 59-77 (2014) - [j37]Jun-Ki Min, Jinhyun Kim, Kyuseok Shim:
TWINS: Efficient time-windowed in-network joins for sensor networks. Inf. Sci. 263: 87-109 (2014) - [c49]Younghoon Kim, Wooyeol Kim, Kyuseok Shim:
Latent Ranking Analysis Using Pairwise Comparisons. ICDM 2014: 869-874 - [e5]Chin-Wan Chung, Andrei Z. Broder, Kyuseok Shim, Torsten Suel:
23rd International World Wide Web Conference, WWW '14, Seoul, Republic of Korea, April 7-11, 2014. ACM 2014, ISBN 978-1-4503-2744-2 [contents] - [e4]Chin-Wan Chung, Andrei Z. Broder, Kyuseok Shim, Torsten Suel:
23rd International World Wide Web Conference, WWW '14, Seoul, Republic of Korea, April 7-11, 2014, Companion Volume. ACM 2014, ISBN 978-1-4503-2745-9 [contents] - 2013
- [j36]Younghoon Kim
Efficient processing of substring match queries with inverted variable-length gram indexes. Inf. Sci. 244: 119-141 (2013) - [j35]Yoonjae Park, Jun-Ki Min, Kyuseok Shim:
Parallel Computation of Skyline and Reverse Skyline Queries Using MapReduce. Proc. VLDB Endow. 6(14): 2002-2013 (2013) - [c48]Kyuseok Shim:
MapReduce Algorithms for Big Data Analysis. DNIS 2013: 44-48 - [c47]Keunjoo Kwon, Heasoo Hwang, Hyoa Kang, Kyoung-Gu Woo, Kyuseok Shim:
A remote cardiac monitoring system for preventive care. ICCE 2013: 197-200 - [c46]Younghoon Kim
Efficient top-k algorithms for approximate substring matching. SIGMOD Conference 2013: 385-396 - [c45]Younghoon Kim, Yoonjae Park, Kyuseok Shim:
DIGTOBI: a recommendation system for Digg articles using probabilistic modeling. WWW 2013: 691-702 - [e3]Yunjun Gao, Kyuseok Shim, Zhiming Ding, Peiquan Jin, Zujie Ren, Yingyuan Xiao, An Liu, Shaojie Qiao:
Web-Age Information Management - WAIM 2013 International Workshops: HardBD, MDSP, BigEM, TMSN, LQPM, BDMS, Beidaihe, China, June 14-16, 2013. Proceedings. Lecture Notes in Computer Science 7901, Springer 2013, ISBN 978-3-642-39526-0 [contents] - 2012
- [j34]Kyuseok Shim:
MapReduce Algorithms for Big Data Analysis. Proc. VLDB Endow. 5(12): 2016-2017 (2012) - [c44]Jin Man Park, Hyoungmin Park, Jong-Ha Lee, Yeong Kyeong Seong, Kyoung-Gu Woo, Kyuseok Shim:
A breast tumor classification method based on ultrasound BI-RADS data mining. APSIPA 2012: 1-4 - [c43]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 - [c42]Younghoon Kim
HotDigg: Finding Recent Hot Topics from Digg. DASFAA (1) 2012: 414-427 - [c41]Younghoon Kim
Parallel Top-K Similarity Join Algorithms Using MapReduce. ICDE 2012: 510-521 - 2011
- [j33]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) - [j32]Hongrae Lee, Raymond T. Ng, Kyuseok Shim:
Similarity Join Size Estimation using Locality Sensitive Hashing. Proc. VLDB Endow. 4(6): 338-349 (2011) - [j31]Chulyun Kim, Kyuseok Shim:
TEXT: Automatic Template Extraction from Heterogeneous Web Pages. IEEE Trans. Knowl. Data Eng. 23(4): 612-626 (2011) - [c40]Younghoon Kim
TWITOBI: A Recommendation System for Twitter Using Probabilistic Modeling. ICDM 2011: 340-349 - [i1]Hongrae Lee, Raymond T. Ng, Kyuseok Shim:
Similarity Join Size Estimation using Locality Sensitive Hashing. CoRR abs/1104.3212 (2011) - 2010
- [j30]Hyoungmin Park, Kyuseok Shim:
Approximate algorithms with generalizing attribute values for k-anonymity. Inf. Syst. 35(8): 933-955 (2010) - [c39]Younghoon Kim
Efficient processing of substring match queries with inverted q-gram indexes. ICDE 2010: 721-732
2000 – 2009
- 2009
- [j29]Hyoungmin Park, Kyuseok Shim:
FAST: Flash-aware external sorting for mobile database systems. J. Syst. Softw. 82(8): 1298-1312 (2009) - [j28]Hongrae Lee, Raymond T. Ng, Kyuseok Shim:
Power-Law Based Estimation of Set Similarity Join Size. Proc. VLDB Endow. 2(1): 658-669 (2009) - [c38]Hongrae Lee, Raymond T. Ng, Kyuseok Shim:
Approximate substring selectivity estimation. EDBT 2009: 827-838 - 2008
- [j27]Sudipto Guha, Hyoungmin Park, Kyuseok Shim:
Wavelet synopsis for hierarchical range queries with workloads. VLDB J. 17(5): 1079-1099 (2008) - 2007
- [j26]Chulyun Kim, Jong-Hwa Lim, Raymond T. Ng, Kyuseok Shim:
SQUIRE: Sequential pattern mining with quantities. J. Syst. Softw. 80(10): 1726-1745 (2007) - [j25]Sudipto Guha, Kyuseok Shim:
A Note on Linear Time Algorithms for Maximum Error Histograms. IEEE Trans. Knowl. Data Eng. 19(7): 993-997 (2007) - [c37]Hyoungmin Park, Kyuseok Shim:
Approximate algorithms for K-anonymity. SIGMOD Conference 2007: 67-78 - [c36]Hongrae Lee, Raymond T. Ng, Kyuseok Shim:
Extending Q-Grams to Estimate Selectivity of String Matching with Low Edit Distance. VLDB 2007: 195-206 - 2006
- [j24]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) - [j23]Sudipto Guha, Nick Koudas, Kyuseok Shim:
Approximation and streaming algorithms for histogram construction problems. ACM Trans. Database Syst. 31(1): 396-438 (2006) - 2005
- [j22]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) - [j21]Surajit Chaudhuri, Zhiyuan Chen
Storing XML (with XSD) in SQL Databases: Interplay of Logical and Physical Designs. IEEE Trans. Knowl. Data Eng. 17(12): 1595-1609 (2005) - [c35]Sudipto Guha, Kyuseok Shim:
Offline and Data Stream Algorithms for Efficient Computation of Synopsis Structures. VLDB 2005: 1364 - 2004
- [j20]Apostol Natsev, Rajeev Rastogi, Kyuseok Shim:
WALRUS: A Similarity Retrieval Algorithm for Image Databases. IEEE Trans. Knowl. Data Eng. 16(3): 301-316 (2004) - [c34]Chulyun Kim, Jong-Hwa Lim, Raymond T. Ng, Kyuseok Shim:
SQUIRE: Sequential Pattern Mining with Quantities. ICDE 2004: 827 - [c33]Surajit Chaudhuri, Zhiyuan Chen, Kyuseok Shim, Yuqing Wu:
Storing XML (with XSD) in SQL Databases: Interplay of Logical and Physical Designs. ICDE 2004: 842 - [c32]Sudipto Guha, Chulyun Kim, Kyuseok Shim:
XWAVE: Approximate Extended Wavelets for Streaming Data. VLDB 2004: 288-299 - [c31]Sudipto Guha, Kyuseok Shim, Jungchul Woo:
REHIST: Relative Error Histogram Construction Algorithms. VLDB 2004: 300-311 - [c30]Kyuseok Shim:
Recent Advances in Histogram Construction Algorithms. WAIM 2004: 23 - 2003
- [j19]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) - [j18]Minos N. Garofalakis, Dongjoon Hyun, Rajeev Rastogi, Kyuseok Shim:
Building Decision Trees with Constraints. Data Min. Knowl. Discov. 7(2): 187-214 (2003) - [j17]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) - [j16]Sergey Brin, Rajeev Rastogi, Kyuseok Shim:
Mining Optimized Gain Rules for Numeric Attributes. IEEE Trans. Knowl. Data Eng. 15(2): 324-338 (2003) - [c29]Surajit Chaudhuri, Kyuseok Shim:
Storage and Retrieval of XML Data using Relational Databases. ICDE 2003: 802 - [p1]Sudipto Guha, Rajeev Rastogi, Kyuseok Shim:
Techniques for Clustering Massive Data Sets. Clustering and Information Retrieval 2003: 35-82 - [e2]Kyu-Young Whang, Jongwoo Jeon, Kyuseok Shim, Jaideep Srivastava:
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 [contents] - 2002
- [j15]Kenneth A. Ross, Mary F. Fernandez, Kyuseok Shim:
Reminiscences on Influential Papers. SIGMOD Rec. 31(2): 63-64 (2002) - [j14]Rajeev Rastogi, Kyuseok Shim:
Mining Optimized Association Rules with Categorical and Numeric Attributes. IEEE Trans. Knowl. Data Eng. 14(1): 29-50 (2002) - [j13]Kyuseok Shim, Ramakrishnan Srikant, Rakesh Agrawal:
High-Dimensional Similarity Joins. IEEE Trans. Knowl. Data Eng. 14(1): 156-171 (2002) - [j12]Minos N. Garofalakis, Rajeev Rastogi, Kyuseok Shim:
Mining Sequential Patterns with Regular Expression Constraints. IEEE Trans. Knowl. Data Eng. 14(3): 530-552 (2002) - [c28]Chin-Wan Chung, Jun-Ki Min, Kyuseok Shim:
APEX: an adaptive path index for XML data. SIGMOD Conference 2002: 121-132 - 2001
- [j11]Sudipto Guha, Rajeev Rastogi, Kyuseok Shim:
Cure: An Efficient Clustering Algorithm for Large Databases. Inf. Syst. 26(1): 35-58 (2001) - [j10]Rajeev Rastogi, Kyuseok Shim:
Mining optimized support rules for numeric attributes. Inf. Syst. 26(6): 425-444 (2001) - [j9]Kaushik Chakrabarti, Minos N. Garofalakis, Rajeev Rastogi, Kyuseok Shim:
Approximate query processing using wavelets. VLDB J. 10(2-3): 199-223 (2001) - [c27]Sudipto Guha, Nick Koudas, Kyuseok Shim:
Data-streams and histograms. STOC 2001: 471-475 - [c26]Surajit Chaudhuri, Kyuseok Shim:
Storage and Retrieval of XML Data Using Relational Databases. VLDB 2001 - 2000
- [j8]Rajeev Rastogi, Kyuseok Shim:
PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning. Data Min. Knowl. Discov. 4(4): 315-344 (2000) - [j7]Sudipto Guha, Rajeev Rastogi, Kyuseok Shim:
ROCK: A Robust Clustering Algorithm for Categorical Attributes. Inf. Syst. 25(5): 345-366 (2000) - [j6]Kyuseok Shim, Ramakrishnan Srikant:
Workshop Report: 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery. SIGKDD Explor. 1(2): 115-116 (2000) - [j5]Paul S. Bradley, Usama M. Fayyad, Sunita Sarawagi, Kyuseok Shim:
Editorial. SIGKDD Explor. 2(2) (2000) - [c25]Minos N. Garofalakis, Dongjoon Hyun, Rajeev Rastogi, Kyuseok Shim:
Efficient algorithms for constructing decision trees with constraints. KDD 2000: 335-339 - [c24]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 - [c23]Sridhar Ramaswamy, Rajeev Rastogi, Kyuseok Shim:
Efficient Algorithms for Mining Outliers from Large Data Sets. SIGMOD Conference 2000: 427-438 - [c22]Kaushik Chakrabarti, Minos N. Garofalakis, Rajeev Rastogi, Kyuseok Shim:
Approximate Query Processing Using Wavelets. VLDB 2000: 111-122
1990 – 1999
- 1999
- [j4]Surajit Chaudhuri, Kyuseok Shim:
Optimization of Queries with User-Defined Predicates. ACM Trans. Database Syst. 24(2): 177-228 (1999) - [c21]Rajeev Rastogi, Kyuseok Shim:
Mining Optimized Support Rules for Numeric Attributes. ICDE 1999: 206-215 - [c20]Sudipto Guha, Rajeev Rastogi, Kyuseok Shim:
ROCK: A Robust Clustering Algorithm for Categorical Attributes. ICDE 1999: 512-521 - [c19]Rajeev Rastogi, Kyuseok Shim:
Scalable Algorithms for Mining Large Databases. KDD Tutorial Notes 1999: 73-140 - [c18]Sergey Brin, Rajeev Rastogi, Kyuseok Shim:
Mining Optimized Gain Rules for Numeric Attributes. KDD 1999: 135-144 - [c17]Apostol Natsev, Rajeev Rastogi, Kyuseok Shim:
WALRUS: A Similarity Retrieval Algorithm for Image Databases. SIGMOD Conference 1999: 395-406 - [c16]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 - [c15]Minos N. Garofalakis, Rajeev Rastogi, Kyuseok Shim:
SPIRIT: Sequential Pattern Mining with Regular Expression Constraints. VLDB 1999: 223-234 - [c14]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 - [e1]Kyuseok Shim, Ramakrishnan Srikant:
1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, Philadelphia, USA, May 30, 1999. 1999 [contents] - 1998
- [c13]Gabriel M. Kuper, Sridhar Ramaswamy, Kyuseok Shim, Jianwen Su:
A Constraint-Based Spatial Extension to SQL. ACM-GIS 1998: 112-117 - [c12]Rajeev Rastogi, Kyuseok Shim:
Mining Optimized Association Rules with Categorical and Numeric Attributes. ICDE 1998: 503-512 - [c11]Sudipto Guha, Rajeev Rastogi, Kyuseok Shim:
CURE: An Efficient Clustering Algorithm for Large Databases. SIGMOD Conference 1998: 73-84 - [c10]Rajeev Rastogi, Kyuseok Shim:
PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning. VLDB 1998: 404-415 - 1997
- [j3]Yannis E. Ioannidis, Raymond T. Ng, Kyuseok Shim, Timos K. Sellis
Parametric Query Optimization. VLDB J. 6(2): 132-151 (1997) - [c9]Kyuseok Shim, Ramakrishnan Srikant, Rakesh Agrawal:
High-Dimensional Similarity Joins. ICDE 1997: 301-311 - 1996
- [c8]Surajit Chaudhuri, Kyuseok Shim:
Optimizing Queries with Aggregate Views. EDBT 1996: 167-182 - [c7]Rakesh Agrawal, Kyuseok Shim:
Developing Tightly-Coupled Data Mining Applications on a Relational Database System. KDD 1996: 287-290 - [c6]Surajit Chaudhuri, Kyuseok Shim:
Optimization of Queries with User-defined Predicates. VLDB 1996: 87-98 - 1995
- [j2]Surajit Chaudhuri, Kyuseok Shim:
An Overview of Cost-based Optimization of Queries with Aggregates. IEEE Data Eng. Bull. 18(3): 3-9 (1995) - [c5]Surajit Chaudhuri, Ravi Krishnamurthy, Spyros Potamianos, Kyuseok Shim:
Optimizing Queries with Materialized Views. ICDE 1995: 190-200 - [c4]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 - 1994
- [j1]Kyuseok Shim, Timos K. Sellis
Improvements on a Heuristic Algorithm for Multiple-Query Optimization. Data Knowl. Eng. 12(2): 197-222 (1994) - [c3]Surajit Chaudhuri, Kyuseok Shim:
Including Group-By in Query Optimization. VLDB 1994: 354-366 - 1993
- [c2]Surajit Chaudhuri, Kyuseok Shim:
Query Optimization in the Presence of Foreign Functions. VLDB 1993: 529-542 - 1992
- [c1]Yannis E. Ioannidis, Raymond T. Ng, Kyuseok Shim, Timos K. Sellis:
Parametric Query Optimization. VLDB 1992: 103-114
Coauthor Index
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