Proceedings ArticleDOI
Data mining techniques and applications — A decade review
Hussain Ahmad Madni,Zahid Anwar,Munam Ali Shah +2 more
- pp 1-7
TLDR
This paper reviews data mining techniques and its applications such as educational data mining (EDM), finance, commerce, life sciences and medical etc, and group existing approaches to determine how the data mining can be used in different fields.Abstract:
Data mining is also known as Knowledge Discovery in Database (KDD). It is also defined as the process which includes extracting the interesting, interpretable and useful information from the raw data. There are different sources that generate raw data in very large amount. This is the main reason the applications of data mining are increasing rapidly. This paper reviews data mining techniques and its applications such as educational data mining (EDM), finance, commerce, life sciences and medical etc. We group existing approaches to determine how the data mining can be used in different fields. Our categorization specifically focuses on the research that has been published over the period 2007–2017. With this categorization, we present an easy and concise view of different models adapted in the data mining.read more
Citations
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Journal ArticleDOI
Advances in greenhouse automation and controlled environment agriculture: A transition to plant factories and urban agriculture
Redmond R. Shamshiri,Fatemeh Kalantari,Kuan Chong Ting,Kelly R. Thorp,Ibrahim A. Hameed,Cornelia Weltzien,Desa Ahmad,Zahra Mojgan Shad +7 more
TL;DR: In this paper, the authors highlight some of the most recent advances in greenhouse technology and CEA in order to raise the awareness for technology transfer and adaptation, which is necessary for a successful transition to urban agriculture.
Journal ArticleDOI
Fifty years of Information Sciences: A bibliometric overview
José M. Merigó,Witold Pedrycz,Witold Pedrycz,Witold Pedrycz,Richard Weber,Catalina de la Sotta +5 more
TL;DR: This study presents a bibliometric overview of the leading publication and citation trends occurring in the journal to identify the most relevant authors, institutions, countries, and analyze their evolution through time.
Journal ArticleDOI
Internet of Things: A Review of Surveys Based on Context Aware Intelligent Services
TL;DR: A state-of-the-art of IoT from the context aware perspective is presented that allows the integration of IoT and social networks in the emerging Social Internet of Things (SIoT) term.
Journal ArticleDOI
Data mining methods for knowledge discovery in multi-objective optimization
TL;DR: Overall, the unsupervised rules generated by flexible pattern mining are found to be the most consistent, whereas the supervised rules from classification trees are the most sensitive to user-preferences.
Journal ArticleDOI
Analytics for the Internet of Things: A Survey
TL;DR: The broad vision for the IoT as it is shaped in various communities is reviewed, the application of data analytics across IoT domains is examined, a categorisation of analytic approaches is provided, and a layered taxonomy from IoT data to analytics is proposed.
References
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Journal ArticleDOI
From Data Mining to Knowledge Discovery in Databases
TL;DR: An overview of this emerging field is provided, clarifying how data mining and knowledge discovery in databases are related both to each other and to related fields, such as machine learning, statistics, and databases.
Journal ArticleDOI
Data mining: an overview from a database perspective
TL;DR: In this paper, a survey of the available data mining techniques is provided and a comparative study of such techniques is presented, based on a database researcher's point-of-view.
Journal ArticleDOI
Web usage mining: discovery and applications of usage patterns from Web data
TL;DR: Web usage mining is the application of data mining techniques to discover usage patterns from Web data, in order to understand and better serve the needs of Web-based applications as mentioned in this paper, where preprocessing, pattern discovery, and pattern analysis are described in detail.
Journal ArticleDOI
Educational Data Mining: A Review of the State of the Art
TL;DR: The most relevant studies carried out in educational data mining to date are surveyed and the different groups of user, types of educational environments, and the data they provide are described.
Journal ArticleDOI
A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
Anna L. Buczak,Erhan Guven +1 more
TL;DR: The complexity of ML/DM algorithms is addressed, discussion of challenges for using ML/ DM for cyber security is presented, and some recommendations on when to use a given method are provided.