Sciweavers

1127 search results - page 34 / 226
» Improving Data Locality by Chunking
Sort
View
117
Voted
ICDM
2006
IEEE
89views Data Mining» more  ICDM 2006»
15 years 9 months ago
On the Lower Bound of Local Optimums in K-Means Algorithm
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung
IJCAI
2007
15 years 5 months ago
Locality Sensitive Discriminant Analysis
Linear Discriminant Analysis (LDA) is a popular data-analytic tool for studying the class relationship between data points. A major disadvantage of LDA is that it fails to discove...
Deng Cai, Xiaofei He, Kun Zhou, Jiawei Han, Hujun ...
PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
15 years 7 months ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
230
Voted
ICDE
1997
IEEE
133views Database» more  ICDE 1997»
16 years 5 months ago
Physical Database Design for Data Warehouses
Data warehouses collect copies of information from remote sources into a single database. Since the remote data is cached at the warehouse, it appears as local relations to the us...
Wilburt Labio, Dallan Quass, Brad Adelberg
136
Voted
LOCA
2009
Springer
15 years 10 months ago
Improving Location Fingerprinting through Motion Detection and Asynchronous Interval Labeling
Abstract. Wireless signal strength fingerprinting has become an increasingly popular technique for realizing indoor localization systems using existing WiFi infrastructures. Howev...
Philipp Bolliger, Kurt Partridge, Maurice Chu, Mar...