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KDD
1997
ACM
143views Data Mining» more  KDD 1997»
14 years 18 days ago
Anytime Exploratory Data Analysis for Massive Data Sets
Exploratory data analysis is inherently an iterative, interactive endeavor. In the context of massive data sets, however, many current data analysis algorithms will not scale appr...
Padhraic Smyth, David Wolpert
INFOVIS
1999
IEEE
14 years 23 days ago
Aggregate Towers: Scale Sensitive Visualization and Decluttering of Geospatial Data
We have developed a technique, Aggregate Towers, that allows geospatial data to be visualized across a range of map scales. We use a combination of data aggregation algorithms and...
James K. Rayson
KDD
2007
ACM
335views Data Mining» more  KDD 2007»
14 years 8 months ago
Detecting changes in large data sets of payment card data: a case study
An important problem in data mining is detecting changes in large data sets. Although there are a variety of change detection algorithms that have been developed, in practice it c...
Chris Curry, Robert L. Grossman, David Locke, Stev...
IJCNN
2008
IEEE
14 years 2 months ago
Learning adaptive subject-independent P300 models for EEG-based brain-computer interfaces
Abstract— This paper proposes an approach to learn subjectindependent P300 models for EEG-based brain-computer interfaces. The P300 models are first learned using a pool of exis...
Shijian Lu, Cuntai Guan, Haihong Zhang
ISLPED
1995
ACM
125views Hardware» more  ISLPED 1995»
14 years 14 hour ago
Transforming set data types to power optimal data structures
In this paper we present a novel approach to model the search space for optimal set data types in network component realisations. The main objective is to arrive at power efficie...
Sven Wuytack, Francky Catthoor, Hugo De Man