• QED : An efficient framework f...

Result: QED : An efficient framework for temporal region query processing

Title:
QED : An efficient framework for temporal region query processing
Authors:
CHU, Yi-Hong, CHUANG, Kun-Ta, CHEN, Ming-Syan
Source:
Advances in knowledge discovery and data mining (Hanoi, 18-20 May 2005)Lecture notes in computer science. :323-332
Publisher Information:
Berlin: Springer, 2005.
Publication Year:
2005
Physical Description:
print, 7 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Organisation des mémoires. Traitement des données, Memory organisation. Data processing, Traitement des données. Listes et chaînes de caractères, Data processing. List processing. Character string processing, Intelligence artificielle, Artificial intelligence, Apprentissage et systèmes adaptatifs, Learning and adaptive systems, Analyse donnée, Data analysis, Análisis datos, Analyse statistique, Statistical analysis, Análisis estadístico, Approche probabiliste, Probabilistic approach, Enfoque probabilista, Arithmétique intervalle, Interval arithmetic, Aritmética intervalo, Base donnée temporelle, Temporal databases, Découverte connaissance, Knowledge discovery, Descubrimiento conocimiento, Fouille donnée, Data mining, Busca dato, Interrogation base donnée, Database query, Interrogación base datos, Intervalle temps, Time interval, Intervalo tiempo, Logique temporelle, Temporal logic, Lógica temporal, Méthode arborescente, Tree structured method, Método arborescente, Méthode empirique, Empirical method, Método empírico, Radiofréquence, Radiofrequency, Radiofrecuencia, Traitement requête, Query processing, Tratamiento pregunta
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Department of Electrical Engineering, National Taiwan University, Taipei, Tawain, Province of China
ISSN:
0302-9743
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=16894763
Rights:
Copyright 2005 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.16894763
Database:
PASCAL Archive

Further Information

In this paper, we explore a new problem of temporal dense region query to discover the dense regions in the constrainted time intervals which can be separated or not. A Querying tEmporal Dense Region framework (abbreviated as QED) proposed to deal with this problem consists of two phases: (1) an offline maintaining phase, to maintain the statistics of data by constructing a number of summarized structures, RF-trees; (2) an online query processing phase, to provide an efficient algorithm to execute queries on the RF-trees. The QED framework has the advantage that by using the summarized structures, RF-trees, the queries can be executed efficiently without accessing the raw data. In addition, a number of RF-trees can be merged with one another efficiently such that the queries will be executed efficiently on the combined RF-tree. As validated by our empirical studies, the QED framework performs very efficiently while producing the results of high quality.