[PDF][PDF] Overview of data mining for customer behavior modeling
C Bounsaythip, E Rinta-Runsala - VTT Information Technology …, 2001 - researchgate.net
This report examines the problems of customer relationship management (CRM) particularly
customer segmentation and customer profiling, and how data mining tools are used to …
customer segmentation and customer profiling, and how data mining tools are used to …
Classification algorithms used in predicting glaucoma progression
In this paper, various machine learning algorithms were used in order to predict the
evolution of open-angle glaucoma (POAG). The datasets were built containing clinical …
evolution of open-angle glaucoma (POAG). The datasets were built containing clinical …
[PDF][PDF] Advanced data clustering methods of mining Web documents.
S Sambasivam, N Theodosopoulos - Issues in Informing Science & …, 2006 - academia.edu
The aim of this paper is to evaluate, propose and improve the use of advanced web data
clustering techniques, allowing data analysts to conduct more efficient execution of large …
clustering techniques, allowing data analysts to conduct more efficient execution of large …
Prediction of the liquid-crystalline property using different classification methods
This article reports a new approach to predict the liquid crystalline behavior using three
classes of machine learning algorithm: eager learners (C4. 5, random tree, random forest …
classes of machine learning algorithm: eager learners (C4. 5, random tree, random forest …
Pre-empting user questions through anticipation: data mining faq lists
D Ng'Ambi - Proceedings of the 2002 annual research conference …, 2002 - dl.acm.org
In this paper we describe the use of data mining techniques on frequently referenced
questions (FRQ) to predict the user's' next'question with the view to pre-empting the question …
questions (FRQ) to predict the user's' next'question with the view to pre-empting the question …
[PDF][PDF] Performance analysis of categorization algorithms
In this paper, a performance analysis for several well-known categorization algorithms is
made. The main goal is to find classes of algorithms based on their error rate on the whole …
made. The main goal is to find classes of algorithms based on their error rate on the whole …
Aplicación de técnicas de minería de datos para predecir la deserción estudiantil en la educación básica regular en la Región de Lambayeque
LE Piscoya Ordoñez - 2017 - repositorio.uss.edu.pe
En la presente investigación tiene como objetivo proponer una herramienta utilizando las
técnicas de minería de datos, donde permita al usuario tener acceso a la información …
técnicas de minería de datos, donde permita al usuario tener acceso a la información …
CHIDDAM: a data mining based technique for cache hierarchy determination in commercial applications
P Elakkumanan, L Liu, VK Vankadara… - … Symposium on Circuits …, 2005 - ieeexplore.ieee.org
In this paper, we present a cache hierarchy design using data mining (CHIDDAM)
methodology to improve the memory efficiency for a given type of commercial application …
methodology to improve the memory efficiency for a given type of commercial application …
Parallel data mining with the message passing interface standard on clusters of personal computers
LP Hammack - 1999 - scholar.afit.edu
Piles of personal computers (PoPCs) have begun to challenge the performance of the
traditional Massively Parallel Processors (MPPs) and the less traditional networks of …
traditional Massively Parallel Processors (MPPs) and the less traditional networks of …
A privacy preserving data mining methodology for dynamically predicting emerging human threats
G Manohar, C Tucker - … Technical Conferences and …, 2013 - asmedigitalcollection.asme.org
This paper proposes a privacy preserving data mining driven methodology for predicting
emerging human threats in a public space by capturing large scale, real time body …
emerging human threats in a public space by capturing large scale, real time body …