Microblogging Recruitment Information Mining

Lecture Notes in Electrical Engineering - Frontier Computing ◽

10.1007/978-981-10-0539-8_19 ◽

2016 ◽

pp. 185-194

Author(s):

Jing Qin ◽

Yiping Lu ◽

Shuo Feng ◽

Guiliang Feng

Keyword(s):

Information Mining

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Study of Information Mining (DM) and Machine Learning (ML) Strategies on Digital Security

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v6i6.14121417 ◽

2018 ◽

Vol 6 (6) ◽

pp. 1412-1417

Author(s):

Muralidhara S

Keyword(s):

Machine Learning ◽

Information Mining

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Web Information Mining and Decision Support Platform for the Modern Service Industry

10.3115/v1/p14-5017 ◽

2014 ◽

Author(s):

Binyang Li ◽

Lanjun Zhou ◽

Zhongyu Wei ◽

Kam-fai Wong ◽

Ruifeng Xu ◽

...

Keyword(s):

Decision Support ◽

Service Industry ◽

Information Mining ◽

Web Information ◽

Modern Service Industry

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Faculty Opinions recommendation of Monitoring wastewater for assessing community health: Sewage Chemical-Information Mining (SCIM).

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.732143668.793571022 ◽

2020 ◽

Author(s):

Max Häggblom

Keyword(s):

Community Health ◽

Chemical Information ◽

Information Mining

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The Application of Information Mining Technology to the Total Army Injury and Health Outcomes Database (TAIHOD)

10.21236/ada392727 ◽

2000 ◽

Author(s):

Paul Amoroso

Keyword(s):

Health Outcomes ◽

Mining Technology ◽

Information Mining

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Feasibility and effort estimation models for medium and small size information mining projects

Information Systems ◽

10.1016/j.is.2014.06.004 ◽

2015 ◽

Vol 47 ◽

pp. 1-14 ◽

Cited By ~ 4

Author(s):

Pablo Pytel ◽

Alejandro Hossian ◽

Paola Britos ◽

Ramón García-Martínez

Keyword(s):

Effort Estimation ◽

Information Mining ◽

Size Information ◽

Mining Projects ◽

Estimation Models

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Information mining in weighted complex networks with nonlinear rating projection

Communications in Nonlinear Science and Numerical Simulation ◽

10.1016/j.cnsns.2017.03.018 ◽

2017 ◽

Vol 51 ◽

pp. 115-123 ◽

Cited By ~ 17

Author(s):

Hao Liao ◽

An Zeng ◽

Mingyang Zhou ◽

Rui Mao ◽

Bing-Hong Wang

Keyword(s):

Complex Networks ◽

Information Mining ◽

Weighted Complex Networks

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WIM: An Information Mining Model for the Web

16th International Workshop on Database and Expert Systems Applications (DEXA'05) ◽

10.1109/dexa.2005.203 ◽

2006 ◽

Author(s):

R. Baeza-Yates ◽

A.R. Pereira ◽

N. Ziviani

Keyword(s):

Information Mining ◽

Mining Model ◽

The Web

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Ontology Construction Research for the Mobile Phones' Reviews on the Internet

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.602-605.3363 ◽

2014 ◽

Vol 602-605 ◽

pp. 3363-3366

Author(s):

Yi Ming Sun ◽

Chun Lei Han

Keyword(s):

Mobile Phone ◽

Mobile Phones ◽

Semantic Information ◽

Domain Ontology ◽

University Research ◽

New Method ◽

The Internet ◽

Stanford University ◽

Information Mining ◽

Ontology Construction

In order to automatically identify the mobile phones' reviews that the users comment on the mobile phone on the internet and obtain valuable information from the reviews, this paper presents the process of constructing ontology for the mobile phones' reviews and preliminarily establish a domain ontology of the mobile phones' reviews. The ontology construction adopts the Protégé tool and the Seven Steps method of Stanford University research. The ontology can provide convenience for the semantic information mining on Web mobile phones' reviews, and it can provide a new method to effectively mine the use feelings of the phone from a large number of mobile phone users' reviews.

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