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KDD
2004
ACM
101views Data Mining» more  KDD 2004»
13 years 10 months ago
Clustering moving objects
Yifan Li, Jiawei Han, Jiong Yang
KDD
2004
ACM
285views Data Mining» more  KDD 2004»
13 years 10 months ago
Effective localized regression for damage detection in large complex mechanical structures
In this paper, we propose a novel data mining technique for the efficient damage detection within the large-scale complex mechanical structures. Every mechanical structure is defi...
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika K...
KDD
2004
ACM
145views Data Mining» more  KDD 2004»
13 years 10 months ago
A graph-theoretic approach to extract storylines from search results
We present a graph-theoretic approach to discover storylines from search results. Storylines are windows that offer glimpses into interesting themes latent among the top search re...
Ravi Kumar, Uma Mahadevan, D. Sivakumar
KDD
2004
ACM
116views Data Mining» more  KDD 2004»
13 years 10 months ago
A system for automated mapping of bill-of-materials part numbers
Part numbers are widely used within an enterprise throughout the manufacturing process. The point of entry of such part numbers into this process is normally via a Bill of Materia...
Jayant Kalagnanam, Moninder Singh, Sudhir Verma, M...
KDD
2004
ACM
157views Data Mining» more  KDD 2004»
13 years 10 months ago
On detecting space-time clusters
Detection of space-time clusters is an important function in various domains (e.g., epidemiology and public health). The pioneering work on the spatial scan statistic is often use...
Vijay S. Iyengar
KDD
2004
ACM
125views Data Mining» more  KDD 2004»
13 years 10 months ago
A general approach to incorporate data quality matrices into data mining algorithms
Ian Davidson, Ashish Grover, Ashwin Satyanarayana,...
KDD
2004
ACM
161views Data Mining» more  KDD 2004»
13 years 10 months ago
ANN quality diagnostic models for packaging manufacturing: an industrial data mining case study
World steel trade becomes more competitive every day and new high international quality standards and productivity levels can only be achieved by applying the latest computational...
Nicolás de Abajo, Alberto B. Diez, Vanesa L...
KDD
2004
ACM
147views Data Mining» more  KDD 2004»
13 years 10 months ago
Clustering time series from ARMA models with clipped data
Clustering time series is a problem that has applications in a wide variety of fields, and has recently attracted a large amount of research. In this paper we focus on clustering...
Anthony J. Bagnall, Gareth J. Janacek
KDD
2004
ACM
171views Data Mining» more  KDD 2004»
14 years 5 months ago
Integrating Web Conceptual Modeling and Web Usage Mining
We present a case study about the application of the inductive database approach to the analysis of Web logs. We consider rich XML Web logs ? called conceptual logs ? that are gen...
Rosa Meo, Pier Luca Lanzi, Maristella Matera, Robe...
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
14 years 5 months ago
Markov Blankets and Meta-heuristics Search: Sentiment Extraction from Unstructured Texts
Extracting sentiments from unstructured text has emerged as an important problem in many disciplines. An accurate method would enable us, for example, to mine online opinions from ...
Edoardo Airoldi, Xue Bai, Rema Padman