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KDD
2009
ACM
192views Data Mining» more  KDD 2009»
14 years 8 months ago
Time series shapelets: a new primitive for data mining
Classification of time series has been attracting great interest over the past decade. Recent empirical evidence has strongly suggested that the simple nearest neighbor algorithm ...
Lexiang Ye, Eamonn J. Keogh
PVLDB
2011
12 years 11 months ago
Albatross: Lightweight Elasticity in Shared Storage Databases for the Cloud using Live Data Migration
Database systems serving cloud platforms must serve large numbers of applications (or tenants). In addition to managing tenants with small data footprints, different schemas, and ...
Sudipto Das, Shoji Nishimura, Divyakant Agrawal, A...
KDD
1995
ACM
129views Data Mining» more  KDD 1995»
13 years 11 months ago
Feature Extraction for Massive Data Mining
Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerica...
V. Seshadri, Raguram Sasisekharan, Sholom M. Weiss
BMCBI
2010
138views more  BMCBI 2010»
13 years 8 months ago
A database and API for variation, dense genotyping and resequencing data
Background: Advances in sequencing and genotyping technologies are leading to the widespread availability of multi-species variation data, dense genotype data and large-scale rese...
Daniel Rios, William M. McLaren, Yuan Chen, Ewan B...
DAGSTUHL
2007
13 years 9 months ago
An XML Framework for Integrating Continuous Queries, Composite Event Detection, and Database Condition Monitoring for Multiple D
Abstract Current, data-driven applications have become more dynamic in nature, with the need to respond to events generated from distributed sources or to react to information extr...
Susan Darling Urban, Suzanne W. Dietrich, Yi Chen