Results 51 to 60 of about 22,816,084 (277)
Using Apriori with WEKA for Frequent Pattern Mining [PDF]
International Journal of Engineering Trends and Technology
(IJETT), V12(3), 127-131, June 2014, 2014 Knowledge exploration from the large set of data,generated as a result of the various data processing activities due to data mining only. Frequent Pattern Mining is a very important undertaking in data mining. Apriori approach applied to generate frequent item set generally espouse candidate generation and pruning techniques for the satisfaction of the
arxiv +1 more source
First CLADAG data mining prize : data mining for longitudinal data with different marketing campaigns [PDF]
, 2009 The CLAssification and Data Analysis Group (CLADAG) of the Italian Statistical Society recently organised a competition, the 'Young Researcher Data Mining Prize' sponsored by the SAS Institute.
Akacha, Mouna +2 more
core
Mining developer communication data streams
, 2014 This paper explores the concepts of modelling a software development project as a process that results in the creation of a continuous stream of data.
Connor, Andy M. +2 more
core +1 more source
Journal of King Saud University: Computer and Information Sciences, 2020 Detecting the articles which consist of protein–protein interactions (PPI) is a significant step in biological information extraction. In this paper, we present a hybrid text classification (TC) method to identify protein–protein interaction articles ...
Sabenabanu Abdulkadhar +2 more
doaj
Feature Selection for Regression Based on Gamma Test Nested Monte Carlo Tree Search
Entropy, 2021 This paper investigates the nested Monte Carlo tree search (NMCTS) for feature selection on regression tasks. NMCTS starts out with an empty subset and uses search results of lower nesting level simulation. Level 0 is based on random moves until the path
Ying Li, Guohe Li, Lingun Guo
doaj +1 more source
Data Mining in Electronic Commerce
, 2006 Modern business is rushing toward e-commerce. If the transition is done properly, it enables better management, new services, lower transaction costs and better customer relations.
Banks, David L., Said, Yasmin H.
core +1 more source
Web + Data Mining = Web Mining [PDF]
HMD Praxis der Wirtschaftsinformatik, 2009 Dieser Beitrag gibt eine kurze Beschreibung, was unter dem Begriff Web Mining zu verstehen ist und wie Webdaten mit gangigen Data-Mining-Techniken kombiniert werden konnen, um das Web besser als Informationsquelle nutzbar zu machen. Des Weiteren wird ein Uberblick uber die gangigen Hauptachsen gegeben, entlang derer die meisten aktuellen Entwicklungen ...
openaire +2 more sources
Automatic subspace clustering of high dimensional data for data mining applications
ACM SIGMOD Conference, 1998 Data mining applications place special requirements on clustering algorithms including: the ability to find clusters embedded in subspaces of high dimensional data, scalability, end-user comprehensibility of the results, non-presumption of any canonical ...
R. Agrawal +3 more
semanticscholar +1 more source
Virtual Geographic Simulation of Light Distribution within Three-Dimensional Plant Canopy Models
ISPRS International Journal of Geo-Information, 2017 Virtual geographic environments (VGEs) have been regarded as an important new means of simulating, analyzing, and understanding complex geological processes. Plants and light are major components of the geographic environment.
Liyu Tang +5 more
doaj +1 more source
Probing the origins of human acetylcholinesterase inhibition via QSAR modeling and molecular docking [PDF]
PeerJ, 2016 Alzheimer’s disease (AD) is a chronic neurodegenerative disease which leads to the gradual loss of neuronal cells. Several hypotheses for AD exists (e.g., cholinergic, amyloid, tau hypotheses, etc.).
Saw Simeon +6 more
doaj +2 more sources