• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 37 matches

• 2019
• 
  Richard Wilton, Sarah J. Wheelan, Alexander S. Szalay, Steven L. Salzberg:
  The Terabase Search Engine: a large-scale relational database of short-read sequences. Bioinform. 35(4): 665-670 (2019)
• 2017
• 
  Sapana Rani, Dileep Kumar Koshley, Raju Halder:
  Partitioning-Insensitive Watermarking Approach for Distributed Relational Databases. Trans. Large Scale Data Knowl. Centered Syst. 36: 172-192 (2017)
• 2016
• 
  Saad Mohamed Darwish:
  Improving semantic compression specification in large relational database. IET Softw. 10(4): 108-115 (2016)
• 2015
• 
  Aleksey Charapko, Ching-Hua Chuan:
  Indexing Musical Sequences in Large Datasets Using Relational Databases. Int. J. Multim. Data Eng. Manag. 6(2): 1-18 (2015)
• 
  Mehdi Kargar, Aijun An, Nick Cercone, Parke Godfrey, Jaroslaw Szlichta, Xiaohui Yu:
  Meaningful keyword search in relational databases with large and complex schema. ICDE 2015: 411-422
• 2014
• 
  Keisuke Suzuki, Yuto Hayamizu, Daisaku Yokoyama, Miyuki Nakano, Masaru Kitsuregawa:
  Comprehensive Analytics of Large Data Query Processing on Relational Database with SSDs. ADC 2014: 135-146
• 
  Zhensong Qian, Oliver Schulte, Yan Sun:
  Computing Multi-Relational Sufficient Statistics for Large Databases. CIKM 2014: 1249-1258
• 
  Stelios E. Papadakis, Vangelis A. Stykas, George Mastorakis, Constandinos X. Mavromoustakis:
  A hyper-box approach using relational databases for large scale machine learning. TEMU 2014: 69-73
• 
  Zhensong Qian, Oliver Schulte, Yan Sun:
  Computing Multi-Relational Sufficient Statistics for Large Databases. CoRR abs/1408.5389 (2014)
• 2013
• 
  Korra Sathya Babu, Nithin Reddy, Nitesh Kumar, Mark Elliot, Sanjay Kumar Jena:
  Achieving k-anonymity Using Improved Greedy Heuristics for Very Large Relational Databases. Trans. Data Priv. 6(1): 1-17 (2013)
• 2012
• 
  Bin Zhou, Jian Pei:
  Aggregate keyword search on large relational databases. Knowl. Inf. Syst. 30(2): 283-318 (2012)
• 2011
• 
  Carlos Roberto Valêncio, Fernando Takeshi Oyama, Fernando Tochio Ichiba, Rogéria Cristiane Gratão de Souza:
  Multi-relational Algorithm for Mining Association Rules in Large Databases. PDCAT 2011: 269-274
• 
  Gerard Lemson, Tamas Budavari, Alexander S. Szalay:
  Implementing a General Spatial Indexing Library for Relational Databases of Large Numerical Simulations. SSDBM 2011: 509-526
• 2010
• 
  Lina Al-Jadir, Christine Parent, Stefano Spaccapietra:
  Reasoning with large ontologies stored in relational databases: The OntoMinD approach. Data Knowl. Eng. 69(11): 1158-1180 (2010)
• 
  Bin Yao, Feifei Li, Piyush Kumar:
  K nearest neighbor queries and kNN-Joins in large relational databases (almost) for free. ICDE 2010: 4-15
• 
  Alfredo Cuzzocrea, Mohand-Said Hacid, Nicola Grillo:
  Inheriting Access Control Rules from Large Relational Databases to Materialized Views Automatically. KES (3) 2010: 426-437
• 
  Sriganesh Srihari, Shruti Chandrashekar, Srinivasan Parthasarathy:
  A Framework for SQL-Based Mining of Large Graphs on Relational Databases. PAKDD (2) 2010: 160-167
• 2009
• 
  Pawel Kaplanski:
  Syntactic Modular Decomposition of Large Ontologies with Relational Database. ICCCI (SCI Volume) 2009: 65-72
• 
  Carina Lopes, Gerson Zaverucha:
  HTILDE: scaling up relational decision trees for very large databases. SAC 2009: 1475-1479
• 2008
• 
  Sorin Stancu-Mara, Peter Baumann:
  A comparative benchmark of large objects in relational databases. IDEAS 2008: 277-284
• 2005
• 
  Erwin Leonardi, Sourav S. Bhowmick, Sanjay Kumar Madria:
  Xandy: Detecting Changes on Large Unordered XML Documents Using Relational Databases. DASFAA 2005: 711-723
• 
  Ronnie Alves, Orlando Belo:
  Programming Relational Databases for Itemset Mining over Large Transactional Tables. EPIA 2005: 314-324
• 2004
• 
  José María Fernández, Alfonso Valencia:
  YAdumper: extracting and translating large information volumes from relational databases to structured flat files. Bioinform. 20(15): 2455-2457 (2004)
• 1996
• 
  Jacqueline M. Antis, Stephen G. Eick, John D. Pyrce:
  Visualizing the Structure of Large Relational Databases. IEEE Softw. 13(1): 72-80 (1996)
• 
  Alex Alves Freitas, Simon H. Lavington:
  Speeding up Knowledge Discovery in Large Relational Databases by Means of a New Discretization Algorithm. BNCOD 1996: 124-133
• 
  Alex Alves Freitas, Simon H. Lavington:
  Parallel Data Mining for Very Large Relational Databases. HPCN Europe 1996: 158-163
• 
  Jiawei Han, Yongjian Fu, Wei Wang, Jenny Chiang, Wan Gong, Krzysztof Koperski, Deyi Li, Yijun Lu, Amynmohamed Rajan, Nebojsa Stefanovic, Betty Xia, Osmar R. Zaïane:
  DBMiner: A System for Mining Knowledge in Large Relational Databases. KDD 1996: 250-255
• 1993
• 
  Paul E. Reimers, Soon Myoung Chung:
  Intelligent User Interface for Very Large Relational Databases. HCI (2) 1993: 134-139
• 1987
• 
  Bernhard Thalheim:
  Design Tools for Large Relational Database Systems. MFDBS 1987: 210-224
• 1986
• 
  Gian Piero Zarri:
  The Use of Inference Mechanisms to Improve the Retrieval Facilities from Large Relational Databases. SIGIR 1986: 221-227

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