[PDF] Top 20 A Rough Set Approach towards Analysis of Cosmetic Data

... the data collected from customer face images is ...the analysis of skin type, as it aims to retain the discriminatory power of original features, thereby enhancing the accuracy and efficiency of discovering ... See full document

... Such approach is quite tedious in terms of data pre-processing and it also time consuming when it comes to ...Comparative analysis of the Rough Set performance between IFS classifier ... See full document

... large set of risk scenarios [12]. To deal with this large set we need a systematic process that filters and ranks these identified scenarios is needed so that risk mitigation activities can be ...the ... See full document

... of Rough Set can be used to find dependence relationship among data, evaluate the importance of attributes, discover the patterns of data, learn common decision-making rules, reduce all ... See full document

... The accuracy and the coverage of each classifier are shown in Table 1. Decomposition tree and Decision rules are the best with full accuracy (100%) whereas LTF-C is of lower accuracy of 74.6%. The coverage of LTF-C and ... See full document

... to analysis and predict the data for decision support ...predictive approach re used all the interdisciplinary ...skill set potential identification and the predication of developer ... See full document

... all data available for a particular well through the zone of interest and to give the "best" first-pass ...available data; log curves, parameters, and depositional environment information are ... See full document

... huge data generation in manifold ways. The data so generated not only confuses the mind of the user but also it creates problem to derive the useful data for the application of the ...the data ... See full document

... the Rough set theory as an approach to diagnosis Chikungunya fever by the elimination of redundant data available in medical database ends with a set of decision rule which can assist ... See full document

... incremental rough set ...incremental approach to clustering interval ...of rough set ...its approach to verification and validation, concentrating particularly on recent ... See full document

... multi-criteria analysis methods, Analytic Hierarchy Process (AHP) and Dominance- based Rough Set Approach (DRSA), applied to the ranking of ten investment projects based on evaluation of the ... See full document

... cluster analysis to segment radar signals in scanning land and marine objects (Haimov, Michalev, Savchenko and Yordanov, ...an approach used to segment tissues in a nuclear medical imaging method known as ... See full document

... Rough set theory is a new mathematical approach to imperfect ...fuzzy set theory proposed by Zadeh .Rough set theory proposed by Zpawlak presents still another attempt to this ... See full document

... of data mining is extracting significant and earlier unknown knowledge from real-world ...raw data is a very effective and most widely used tool of data ...life data are frequently imperfect, ... See full document

... concept analysis (FCA) is a mathematical framework, developed by Wille [23] and his col- leagues at Darmstadt University, which is very useful for representation and analysis of data ...a data ... See full document

... The Rough Set Theory has had a significant impact in the field of data analysis and as a result has attracted the attention of researchers ...many rough set based clinical ... See full document

... years data is growing at tremendous rate day by day and therefore big data mining is becoming a new ...challenge. Data mining is a process or technology which uses a variety of data ... See full document

... the data, lack of critical knowledge, compact representation, and prediction capability, most of decision systems are ...decision analysis problems, as well as is the focus of study in information systems ... See full document

... expression data. The result is a set of biclusters of maximum size, with stronger coherence, and particularly with a reasonable degree of overlapping ...the approach dynamically adjusts the ... See full document

... information data set and successfully derived the reducts, cut sets, rules and dynamic reducts from the data ...the data set and have identified the decision ... See full document