Results 51 to 60 of about 338,799 (197)
Effective Personalized Web Mining by Utilizing the Most Utilized Data
International Journal of Database Management Systems, 2011 Looking into the growth of information in the web it is a very tedious process of getting the exact information the user is looking for. Many search engines generate user profile related data listing. This paper involves one such process where the rating is given to the link that the user is clicking on. Rather than avoiding the uninterested links both
Grace, L. K. Joshila +2 more
openaire +2 more sources
Hiding Sensitive High Utility and Frequent Itemsets Based on Constrained Intersection Lattice
Cybernetics and Information Technologies, 2022 Hiding high utility and frequent itemset is the method used to preserve sensitive knowledge from being revealed by pattern mining process. Its goal is to remove sensitive high utility and frequent itemsets from a database before sharing it for data ...
Vy Huynh Trieu +4 more
doaj +1 more source
Clustering Scatter Plots Using Data Depth Measures. [PDF]
, 2011 Clustering is rapidly becoming a powerful data mining technique, and has been broadly applied to many domains such as bioinformatics and text mining. However, the existing methods can only deal with a data matrix of scalars. In this paper, we introduce a
Borneman, James +5 more
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On Generation of Firewall Log Status Reporter (SRr) Using Perl
, 2009 Computer System Administration and Network Administration are few such areas where Practical Extraction Reporting Language (Perl) has robust utilization these days apart from Bioinformatics.
Cohly, Hari +2 more
core +3 more sources
Environmental sustainability in the mining sector: evidence from Catalan companies [PDF]
, 2014 This paper examines the adoption of environmental practices in small and medium sized companies inthe surface mining industry in Catalonia (Spain). To fulfill this aim, a survey of 41 items concernint environmental management systems and environmentally ...
Freijo Álvarez, Modesto +2 more
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Efficient High Utility Negative Sequential Patterns Mining in Smart Campus
IEEE Access, 2018 High utility sequential patterns (HUSP) mining has been playing more and more important role in many applications, such as data analysis and smart campus.
Tiantian Xu, Tongxuan Li, Xiangjun Dong
doaj +1 more source
MalStone: Towards A Benchmark for Analytics on Large Data Clouds [PDF]
, 2010 Developing data mining algorithms that are suitable for cloud computing platforms is currently an active area of research, as is developing cloud computing platforms appropriate for data mining. Currently, the most common benchmark for cloud computing is
Bennett, Collin +4 more
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Mining High Utility Itemsets with Regular Occurrence
Journal of ICT Research and Applications, 2016 High utility itemset mining (HUIM) plays an important role in the data mining community and in a wide range of applications. For example, in retail business it is used for finding sets of sold products that give high profit, low cost, etc. These itemsets
Komate Amphawan +3 more
doaj +1 more source
Smart Grid for the Smart City [PDF]
, 2017 Modern cities are embracing cutting-edge technologies to improve the services they offer to the citizens from traffic control to the reduction of greenhouse gases and energy provisioning.
Bonetto, Riccardo, Rossi, Michele
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A survey on utilization of data mining approaches for dermatological (skin) diseases prediction [PDF]
, 2011 Due to recent technology advances, large volumes of medical data is obtained. These data contain valuable information. Therefore data mining techniques can be used to extract useful patterns.
Adibi, N +4 more
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