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» Semantics of Database Transformations
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120
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SIGMOD
1998
ACM
150views Database» more  SIGMOD 1998»
15 years 6 months ago
Extracting Schema from Semistructured Data
Semistructured data is characterized by the lack of any fixed and rigid schema, although typically the data hassomeimplicitstructure. While thelack offixedschemamakesextracting ...
Svetlozar Nestorov, Serge Abiteboul, Rajeev Motwan...
147
Voted
ISMIS
1997
Springer
15 years 6 months ago
Knowledge-Based Image Retrieval with Spatial and Temporal Constructs
e about image features can be expressed as a hierarchical structure called a Type Abstraction Hierarchy (TAH). TAHs can be generated automatically by clustering algorithms based on...
Wesley W. Chu, Alfonso F. Cardenas, Ricky K. Taira
136
Voted
ICCS
1994
Springer
15 years 6 months ago
UDS: A Universal Data Structure
This paper gives a data structure (UDS) for supporting database retrieval, inference and machine learning that attempts to unify and extend previous work in relational databases, ...
Robert Levinson
114
Voted
KDD
2010
ACM
223views Data Mining» more  KDD 2010»
15 years 6 months ago
Frequent regular itemset mining
Concise representations of frequent itemsets sacrifice readability and direct interpretability by a data analyst of the concise patterns extracted. In this paper, we introduce an...
Salvatore Ruggieri
111
Voted
ICDE
2007
IEEE
121views Database» more  ICDE 2007»
15 years 6 months ago
Evaluating Different Ranking Functions for Context-Based Literature Search
Context-based literature digital library search is a new search paradigm that creates an effective ranking of query outputs by controlling query output topic diversity. We define ...
Nattakarn Ratprasartporn, Sulieman Bani-Ahmad, Ali...