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Solaiman Mining

Md. Solaiman Mia | Green University of Bangladesh

Md. Solaiman Mia | Green University of Bangladesh

Sequential pattern mining, which discovers the correlation relationships from the ordered list of events, is an important research field in data mining area. In this paper, I develop a Tree Based Incremental Sequential Pattern Mining algorithm which can generate sequential patterns from the Sequential Pattern Tree recursively

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Possibilistic Pattern Recognition in a Digestive Database

Possibilistic Pattern Recognition in a Digestive Database

Possibilistic Pattern Recognition in a Digestive Database for Mining Imperfect Data . ANAS DAHABIAH, JOHN PUENTES, and BASEL SOLAIMAN . TELECOM Bretagne, D partement Image et Traitement de l’Information, Brest, France

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Sollami Company | Construction, Highway, Mining and

Sollami Company | Construction, Highway, Mining and

Our Mining division offers a line of products specializing in developing mining bits to reduce airborne fines as well as improving coal production by our bits lasting longer, while focusing in underground mining, which includes continuous miners and long-wall mining equipment. More about this product Foundation / Drilling Tools

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An Efficient Association Rule Mining Algorithm for

An Efficient Association Rule Mining Algorithm for

Jun 22, 2008 Cite this paper as: Zemirline A., Lecornu L., Solaiman B., Ech-cherif A. (2008) An Efficient Association Rule Mining Algorithm for Classification

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KMA Solaiman - Research

KMA Solaiman - Research

Research on Mining Accident Data to find patterns Research Topic: Mining Road Accident Data in Bangladesh Supervisor: Professor Dr. Abu Sayed Md. Latiful Hoque Span: November 2014 – Present Summary: We are looking for the answers of - How much accident-prone or faulty a vehicle is ?

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(PDF) Possibilistic Pattern Recognition in a Digestive

(PDF) Possibilistic Pattern Recognition in a Digestive

All content in this area was uploaded by Basel Solaiman on Jul 27, 2018 Content may be subject to copyright. Possibilistic Pattern Recognition in a Digestive Databa se for Mining

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Multi-temporal image change mining based on evidential

Multi-temporal image change mining based on evidential

Abstract Change detection monitoring on multi-temporal remote sensed images is a persistent methodological challenge where the Dempster-Shafer, or evidence, Theory (DST) has been often applied. This paper presents a new method based on the use of DST for mining bi-temporal remotely sensed images change. The main idea is based on the investigation, analysis and interpretation of

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Scene mining and knowledge discovery, concepts and

Scene mining and knowledge discovery, concepts and

Basel Solaiman. TELECOM Bretagne, Institut Mines-T l com (IMT), France. ... Mining tasks are then expressed for different representation levels. The application of scene mining concepts using mammographic medical images as well as remotely sensed images are considered to illustrate different mining concepts

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Possibility Theory for the Design of Information Fusion

Possibility Theory for the Design of Information Fusion

Basel Solaiman is a professor at IMT-Atlantique ( cole nationale sup rieure Mines-T l com Atlantique Bretagne-Pays de la Loire), France, where he heads the Department of Image and Information Processing. His research activities range from medical and underwater imaging, remote sensing, and knowledge mining

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Md. MIA | Assistant Professor | B. Sc. (Hons.) and MS in

Md. MIA | Assistant Professor | B. Sc. (Hons.) and MS in

Md. Solaiman Mia Sequential pattern mining, which discovers the correlation relationships from the ordered list of events, is an important research field in data mining area

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Basel SOLAIMAN | Head of Department | Professor | iTi

Basel SOLAIMAN | Head of Department | Professor | iTi

Basel Solaiman; Basel Solaiman. IMT-Atlantique ... plays an essential role in a wide range of application fields like pattern recognition, reasoning, data, and knowledge mining. Nevertheless, the

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Mycorrhizal Fungi: Use in Sustainable Agriculture and Land

Mycorrhizal Fungi: Use in Sustainable Agriculture and Land

Mycorrhizal Fungi: Use in Sustainable Agriculture and Land Restoration. This volume explores the various functions and potential applications of mycorrhizas, including topics such as the dynamics of root colonization, soil carbon sequestration and the function of mycorrhizas in extreme environments. Some contributions focus on the use of

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