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» Spatial Data Mining: A Database Approach
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KDD
2003
ACM
156views Data Mining» more  KDD 2003»
16 years 1 months ago
Fast vertical mining using diffsets
A number of vertical mining algorithms have been proposed recently for association mining, which have shown to be very effective and usually outperform horizontal approaches. The ...
Mohammed Javeed Zaki, Karam Gouda
73
Voted
KDD
2004
ACM
114views Data Mining» more  KDD 2004»
16 years 1 months ago
Mining reference tables for automatic text segmentation
Automatically segmenting unstructured text strings into structured records is necessary for importing the information contained in legacy sources and text collections into a data ...
Eugene Agichtein, Venkatesh Ganti
SIGMOD
2003
ACM
190views Database» more  SIGMOD 2003»
16 years 24 days ago
Hardware Acceleration for Spatial Selections and Joins
Spatial database operations are typically performed in two steps. In the filtering step, indexes and the minimum bounding rectangles (MBRs) of the objects are used to quickly dete...
Chengyu Sun, Divyakant Agrawal, Amr El Abbadi
KDD
2007
ACM
186views Data Mining» more  KDD 2007»
16 years 1 months ago
An Ad Omnia Approach to Defining and Achieving Private Data Analysis
We briefly survey several privacy compromises in published datasets, some historical and some on paper. An inspection of these suggests that the problem lies with the nature of the...
Cynthia Dwork
89
Voted
EPIA
2003
Springer
15 years 5 months ago
Mining Low Dimensionality Data Streams of Continuous Attributes
This paper presents an incremental and scalable learning algorithm in order to mine numeric, low dimensionality, high–cardinality, time–changing data streams. Within the Superv...
Francisco J. Ferrer-Troyano, Jesús S. Aguil...