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Hugh E. Williams
2000 – 2009
- 2007
[b4]Seyed M. M. Tahaghoghi, Hugh E. Williams: Learning MySQL - get a handle on your data. O'Reilly 2007, ISBN 978-0-596-00864-2, pp. I-XVII, 1-598
[j18]Michael Cameron, Yaniv Bernstein, Hugh E. Williams: Clustered Sequence Representation for Fast Homology Search. Journal of Computational Biology 14(5): 594-614 (2007)
[j17]Mirna Adriani, Jelita Asian, Bobby Nazief, Seyed M. M. Tahaghoghi, Hugh E. Williams: Stemming Indonesian: A confix-stripping approach. ACM Trans. Asian Lang. Inf. Process. 6(4) (2007)
[j16]Michael Cameron, Hugh E. Williams: Comparing Compressed Sequences for Faster Nucleotide BLAST Searches. IEEE/ACM Trans. Comput. Biology Bioinform. 4(3): 349-364 (2007)
[c37]Andrew Turpin, Yohannes Tsegay, David Hawking, Hugh E. Williams: Fast generation of result snippets in web search. SIGIR 2007: 127-134- 2006
[j15]Nicholas Lester, Justin Zobel, Hugh E. Williams: Efficient online index maintenance for contiguous inverted lists. Inf. Process. Manage. 42(4): 916-933 (2006)
[j14]Michael Cameron, Hugh E. Williams, Adam Cannane: A Deterministic Finite Automaton for Faster Protein Hit Detection in BLAST. Journal of Computational Biology 13(4): 965-978 (2006)
[c36]Michael Cameron, Yaniv Bernstein, Hugh E. Williams: Clustering Near-Identical Sequences for Fast Homology Search. RECOMB 2006: 175-189- 2005
[j13]Hugh E. Williams, Justin Zobel: Searchable words on the Web. Int. J. on Digital Libraries 5(2): 99-105 (2005)
[j12]Hugh E. Williams: Introduction to genomic information retrieval. ACM Trans. Inf. Syst. 23(1): 1-2 (2005)
[c35]Seyed M. M. Tahaghoghi, Hugh E. Williams, James A. Thom, Timo Volkmer: Video Cut Detection using Frame Windows. ACSC 2005: 193-200
[c34]
[e2]Hugh E. Williams, Gillian Dobbie (Eds.): Database Technologies 2005, Proceedings of the Sixteenth Australasian Database Conference, ADC 2005, Newcastle, Australia, January 31st - February 3rd 2005. CRPIT 39, Australian Computer Society 2005, ISBN 1-920682-21-X- 2004
[b3]Hugh E. Williams, David Lane: Web database applications with PHP and MySQL - building effective database-driven web sites: covers PEAR, PHP 5, and MySQL 4.1 (2. ed.). O'Reilly 2004, ISBN 978-0-596-00543-6, pp. I-XVIII, 1-796
[j11]Falk Scholer, Hugh E. Williams, Andrew Turpin: Query association surrogates for Web search. JASIST 55(7): 637-650 (2004)
[j10]Michael Cameron, Hugh E. Williams, Adam Cannane: Improved Gapped Alignment in BLAST. IEEE/ACM Trans. Comput. Biology Bioinform. 1(3): 116-129 (2004)
[j9]Hugh E. Williams, Justin Zobel, Dirk Bahle: Fast phrase querying with combined indexes. ACM Trans. Inf. Syst. 22(4): 573-594 (2004)
[c33]
[c32]Nicholas Lester, Justin Zobel, Hugh E. Williams: In-Place versus Re-Build versus Re-Merge: Index Maintenance Strategies for Text Retrieval Systems. ACSC 2004: 15-22
[c31]Jelita Asian, Hugh E. Williams, Seyed M. M. Tahaghoghi: A Testbed for Indonesian Text Retrieval. ADCS 2004: 55-58
[c30]
[c29]Timo Volkmer, Seyed M. M. Tahaghoghi, Hugh E. Williams: Gradual Transition Detection Using Average Frame Similarity. MDDE 2004
[c28]Amanda Clare, Hugh E. Williams, Nicholas Lester: Scalable Multi-Relational Association Mining. ICDM 2004: 355-358
[c27]Seyed M. M. Tahaghoghi, James A. Thom, Hugh E. Williams: Representing Colour for Computing Image Similarity. iiWAS 2004
[c26]Bodo Billerbeck, Adam Cannane, Abhijit Chattaraj, Nicholas Lester, William Webber, Hugh E. Williams, John Yiannis, Justin Zobel: RMIT University at TREC 2004. TREC 2004
[e1]Klaus-Dieter Schewe, Hugh E. Williams (Eds.): Database Technologies 2004, Proceedings of the Fifteenth Australasian Database Conference, ADC 2004, Dunedin, New Zealand, 18-22 January 2004. CRPIT 27, Australian Computer Society 2004, ISBN 1-920682-06-6- 2003
[c25]Vaughan R. Shanks, Hugh E. Williams, Adam Cannane: Indexing for Fast Categorisation. ACSC 2003: 119-127
[c24]
[c23]Bodo Billerbeck, Falk Scholer, Hugh E. Williams, Justin Zobel: Query expansion using associated queries. CIKM 2003: 2-9
[c22]Vaughan R. Shanks, Hugh E. Williams: Index construction for linear categorisation. CIKM 2003: 334-341
[c21]Andrew G. Fry, Hugh E. Williams: Comparing the Overhead Requirements of Database Transaction Models. DEXA 2003: 318-329
[c20]Halil Ali, Hugh E. Williams: What's Changed? Measuring Document Change in Web Crawling for Search Engines. SPIRE 2003: 28-42- 2002
[b2]George Reese, Randy Jay Yarger, Tim King, Hugh E. Williams: Managing and using MySQL - covers version 4.0.1: a database optimized for speed and interactivity (2. ed.). O'Reilly 2002, ISBN 978-0-596-00211-4, pp. I-XIII, 1-425
[b1]Hugh E. Williams, David Lane: Web database applications with PHP and MySQL - building effective database-driven web-sites. O'Reilly 2002, ISBN 978-0-596-00041-7, pp. I-XVI, 1-563
[j8]Hugh E. Williams, Justin Zobel: Indexing and Retrieval for Genomic Databases. IEEE Trans. Knowl. Data Eng. 14(1): 63-78 (2002)
[j7]Steffen Heinz, Justin Zobel, Hugh E. Williams: Burst tries: a fast, efficient data structure for string keys. ACM Trans. Inf. Syst. 20(2): 192-223 (2002)
[j6]Adam Cannane, Hugh E. Williams: A general-purpose compression scheme for large collections. ACM Trans. Inf. Syst. 20(3): 329-355 (2002)
[c19]
[c18]Wahyu Wibowo, Hugh E. Williams: Strategies for minimising errors in hierarchical web categorisation. CIKM 2002: 525-531
[c17]Wahyu Wibowo, Hugh E. Williams: Simple and accurate feature selection for hierarchical categorisation. ACM Symposium on Document Engineering 2002: 111-118
[c16]Dirk Bahle, Hugh E. Williams, Justin Zobel: Efficient phrase querying with an auxiliary index. SIGIR 2002: 215-221
[c15]Falk Scholer, Hugh E. Williams, John Yiannis, Justin Zobel: Compression of inverted indexes for fast query evaluation. SIGIR 2002: 222-229
[c14]Seyed M. M. Tahaghoghi, James A. Thom, Hugh E. Williams: Multiple Example Queries in Content-Based Image Retrieval. SPIRE 2002: 227-240
[c13]Seyed M. M. Tahaghoghi, James A. Thom, Hugh E. Williams: Shot Boundary Detection Using the Moving Query Window. TREC 2002- 2001
[j5]Adam Cannane, Hugh E. Williams: General-purpose compression for efficient retrieval. JASIST 52(5): 430-437 (2001)
[j4]Hugh E. Williams, Justin Zobel, Steffen Heinz: Self-adjusting trees in practice for large text collections. Softw., Pract. Exper. 31(10): 925-939 (2001)
[c12]Dirk Bahle, Hugh E. Williams, Justin Zobel: Optimised Phrase Querying and Browsing of Large Text Databases. ACSC 2001: 11-19
[c11]Seyed M. M. Tahaghoghi, James A. Thom, Hugh E. Williams: Are two pictures better than one? ADC 2001: 138-144
[c10]Dirk Bahle, Hugh E. Williams, Justin Zobel: Compaction Techniques for Nextword Indexes. SPIRE 2001: 33-45
[c9]Vaughan R. Shanks, Hugh E. Williams: Fast Categorisation of Large Document Collections. SPIRE 2001: 194-204- 2000
[j3]Hugh E. Williams: Book review: Information retrieval: Algorithms and heuristics, by David A. Grossman and Ophir Frieder. JASIS 51(11): 1063-1064 (2000)
[c8]Justin Zobel, Hugh E. Williams, Sam Kimberley: Trends in Retrieval System Performance. ACSC 2000: 241-248
[c7]Adam Cannane, Hugh E. Williams: A Compression Scheme for Large Databases. Australasian Database Conference 2000: 6-11
1990 – 1999
- 1999
[j2]Hugh E. Williams, Justin Zobel: Compressing Integers for Fast File Access. Comput. J. 42(3): 193-201 (1999)
[c6]Hugh E. Williams, Justin Zobel, Phil Anderson: What's Next? Index Structures for Efficient Phrase Querying. Australasian Database Conference 1999: 141-152
[c5]Adam Cannane, Hugh E. Williams, Justin Zobel: A General-Purpose Compression Scheme for Databases. Data Compression Conference 1999: 519
[c4]Hugh E. Williams: Effective Query Filtering for Fast Homology Searching. Pacific Symposium on Biocomputing 1999: 214-225
[c3]Justin Zobel, Hugh E. Williams: Compact In-Memory Models for Compression of Large Text Databases. SPIRE/CRIWG 1999: 224-231- 1998
[c2]- 1997
[j1]Hugh E. Williams, Justin Zobel: Compression of nucleotide databases for fast searching. Computer Applications in the Biosciences 13(5): 549-554 (1997)- 1996
[c1]Hugh E. Williams, Justin Zobel: Indexing Nucleotide Databases for Fast Query Evaluation. EDBT 1996: 275-288
Coauthor Index
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last updated on 2013-10-02 10:57 CEST by the dblp team



