Results 81 to 90 of about 22,816,084 (277)
Data Mining and Knowledge Discovery, 2005 Peer ...
Domingo-Ferrer, Joan, Torra, Vicenç
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An Improved Flower Pollination Algorithm for Optimizing Layouts of Nodes in Wireless Sensor Network
IEEE Access, 2019 The arrangement of nodes impacts the quality of connectivity and energy consumption in wireless sensor network (WSN) for prolonging the lifetime. This paper presents an improved flower pollination algorithm based on a hybrid of the parallel and compact ...
Trong-The Nguyen +2 more
doaj +1 more source
Mining web data for competency management [PDF]
, 2005 We present CORDER (COmmunity Relation Discovery by named Entity Recognition) an un-supervised machine learning algorithm that exploits named entity recognition and co-occurrence data to associate individuals in an organization with their expertise and ...
Goncalves, A.L. +4 more
core +1 more source
TOST: A Topological Semantic Model for GPS Trajectories Inside Road Networks
ISPRS International Journal of Geo-Information, 2019 To organize trajectory data is a challenging issue for both studies on spatial databases and spatial data mining in the last decade, especially where there is semantic information involved.
Tao Wu, Jianxin Qin, Yiliang Wan
doaj +1 more source
Text Data Mining from the Author's Perspective: Whose Text, Whose Mining, and to Whose Benefit? [PDF]
arXiv, 2018 Given the many technical, social, and policy shifts in access to scholarly content since the early days of text data mining, it is time to expand the conversation about text data mining from concerns of the researcher wishing to mine data to include concerns of researcher-authors about how their data are mined, by whom, for what purposes, and to whose ...
arxiv
The LSST Data Mining Research Agenda
, 2008 We describe features of the LSST science database that are amenable to scientific data mining, object classification, outlier identification, anomaly detection, image quality assurance, and survey science validation.
A. Szalay +5 more
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From Data Mining to Knowledge Mining [PDF]
, 2005 In view of the tremendous production of computer data worldwide, there is a strong need for new powerful tools that can automatically generate useful knowledge from a variety of data, and present it in human-oriented forms. In efforts to satisfy this need, researchers have been exploring ideas and methods developed in machine learning, statistical data
Ryszard S. Michalski, Kenneth A. Kaufman
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Data Mining and Analytics in the Process Industry: The Role of Machine Learning
IEEE Access, 2017 Data mining and analytics have played an important role in knowledge discovery and decision making/supports in the process industry over the past several decades.
Zhiqiang Ge +3 more
semanticscholar +1 more source
A comparative study of top-k high utility itemset mining methods [PDF]
arXiv, 2018 High Utility Itemset (HUI) mining problem is one of the important problems in the data mining literature. The problem offers greater flexibility to a decision maker to incorporate her/his notion of utility into the pattern mining process. The problem, however, requires the decision maker to choose a minimum utility threshold value for discovering ...
arxiv
A Review on Text Mining in Data Mining
International Journal on Soft Computing, 2016 Data mining is the knowledge discovery in databases and the gaol is to extract patterns and knowledge from large amounts of data. The important term in data mining is text mining. Text mining extracts the quality information highly from text. Statistical pattern learning is used to high quality information.
Yogapreethi.N, Maheswari.S
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