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» On Multiple Query Optimization in Data Mining
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PVLDB
2008
148views more  PVLDB 2008»
13 years 7 months ago
StreamTX: extracting tuples from streaming XML data
We study the problem of extracting flattened tuple data from streaming, hierarchical XML data. Tuple-extraction queries are essentially XML pattern queries with multiple extractio...
Wook-Shin Han, Haifeng Jiang, Howard Ho, Quanzhong...
KDD
2004
ACM
624views Data Mining» more  KDD 2004»
14 years 27 days ago
Programming the K-means clustering algorithm in SQL
Using SQL has not been considered an efficient and feasible way to implement data mining algorithms. Although this is true for many data mining, machine learning and statistical a...
Carlos Ordonez
DAWAK
2005
Springer
14 years 1 months ago
Graph-Based Modeling of ETL Activities with Multi-level Transformations and Updates
Extract-Transform-Load (ETL) workflows are data centric workflows responsible for transferring, cleaning, and loading data from their respective sources to the warehouse. Previous ...
Alkis Simitsis, Panos Vassiliadis, Manolis Terrovi...
ICDE
2008
IEEE
127views Database» more  ICDE 2008»
14 years 9 months ago
Optimizing SQL Queries over Text Databases
Text documents often embed data that is structured in nature, and we can expose this structured data using information extraction technology. By processing a text database with inf...
Alpa Jain, AnHai Doan, Luis Gravano
ADMA
2009
Springer
145views Data Mining» more  ADMA 2009»
14 years 2 months ago
A Framework for Multi-Objective Clustering and Its Application to Co-Location Mining
The goal of multi-objective clustering (MOC) is to decompose a dataset into similar groups maximizing multiple objectives in parallel. In this paper, we provide a methodology, arch...
Rachsuda Jiamthapthaksin, Christoph F. Eick, Ricar...