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» InZeit: Efficiently Identifying Insightful Time Points
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PVLDB
2010
101views more  PVLDB 2010»
12 years 11 months ago
InZeit: Efficiently Identifying Insightful Time Points
Web archives are useful resources to find out about the temporal evolution of persons, organizations, products, or other topics. However, even when advanced text search functional...
Vinay Setty, Srikanta J. Bedathur, Klaus Berberich...
SIGMOD
1999
ACM
183views Database» more  SIGMOD 1999»
13 years 9 months ago
OPTICS: Ordering Points To Identify the Clustering Structure
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
Mihael Ankerst, Markus M. Breunig, Hans-Peter Krie...
FAST
2008
13 years 7 months ago
SWEEPER: An Efficient Disaster Recovery Point Identification Mechanism
Data corruption is one of the key problems that is on top of the radar screen of most CIOs. Continuous Data Protection (CDP) technologies help enterprises deal with data corruptio...
Akshat Verma, Kaladhar Voruganti, Ramani Routray, ...
AAAI
2008
13 years 7 months ago
Automatic Extraction of Data Points and Text Blocks from 2-Dimensional Plots in Digital Documents
Two dimensional plots (2-D) in digital documents on the web are an important source of information that is largely under-utilized. In this paper, we outline how data and text can ...
Saurabh Kataria, William Browuer, Prasenjit Mitra,...
SAS
1994
Springer
159views Formal Methods» more  SAS 1994»
13 years 9 months ago
Iterative Fixed Point Computation for Type-Based Strictness Analysis
Amtoft has formulated an "on-line" constraint normalization method for solving a strictness inference problem inspired by Wright. From the syntactic form of the normaliz...
Fritz Henglein