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ICDE
1998
IEEE
124views Database» more  ICDE 1998»
13 years 9 months ago
Compressing Relations and Indexes
We propose a new compression algorithm that is tailored to database applications. It can be applied to a collection of records, and is especially e ective for records with many lo...
Jonathan Goldstein, Raghu Ramakrishnan, Uri Shaft
CIKM
2009
Springer
13 years 11 months ago
Bitmap indexes for relational XML twig query processing
Due to an increasing volume of XML data, it is considered prudent to store XML data on an industry-strength database system instead of relying on a domain specific application or...
Kyong-Ha Lee, Bongki Moon
WWW
2008
ACM
13 years 4 months ago
Divide, Compress and Conquer: Querying XML via Partitioned Path-Based Compressed Data Blocks
We propose a novel Partition Path-Based (PPB) grouping strategy to store compressed XML data in a stream of blocks. In addition, we employ a minimal indexing scheme called Block S...
Wilfred Ng, Ho Lam Lau, Aoying Zhou
SPIRE
2001
Springer
13 years 9 months ago
Compaction Techniques for Nextword Indexes
Most queries to text search engines are ranked or Boolean. Phrase querying is a powerful technique for refining searches, but is expensive to implement on conventional indexes. I...
Dirk Bahle, Hugh E. Williams, Justin Zobel
CORR
2010
Springer
120views Education» more  CORR 2010»
12 years 11 months ago
LRM-Trees: Compressed Indices, Adaptive Sorting, and Compressed Permutations
LRM-Trees are an elegant way to partition a sequence of values into sorted consecutive blocks, and to express the relative position of the first element of each block within a prev...
Jérémy Barbay, Johannes Fischer