Soil Classification deals with the systematic categorization of soils based on distinguished characteristics as well as criteria. We developed Data Mining techniques like: GATree, Fuzzy Classification rules and Fuzzy C Means algorithm for classifying soil texture in agriculture soil data. In this paper, we give a comparative study of developed algorithms. The study is used to compare and analyz...

Abstract A mineral is an inorganic substance that occurs in nature with specific chemical content and ordered atomic positioning. Minerals are identified by their physical properties. Minerals’ properties related to composition bonding. Quartz extremely valuable economically. Valuable minerals some examples of gemstones citrine, amethyst, quartz smoky texture rose color can be said as gemstones...

Big data is one of the important topics which still open for a wide range applications extracting useful information and knowledge supporting organizations by planning decision-making. Social media as technology an resource data, especially because it has been widely used in last years. A Hashtag recently most popular features provided social users to express, share, retrieve opinions feelings ...

abstract: although all university majors are prominent and the necessity of their presences is of no question, they might not have the same priority basis considering different resources and strategies that could be spotted for a country. this paper focuses on clustering and ranking university majors in iran. to do so, a model is presented to clarify the procedure. eight different criteria are ...

Data generalization is a data preprocessing technique employed in data mining. It is a process that abstracts a large set of task-relevant data in a database from a relatively low conceptual level to higher conceptual levels with the aim of reducing data size. This paper discusses a novel method of generalizing texture images by clustering them based on color, texture and semantically classifyi...

Online product reviews contain information that can assist in the decision making process of new customers looking for various products. To assist customers, supervised learning algorithms can be used to categorize the reviews as either positive or negative, if large amounts of labeled data are available. However, some domains have few or no labeled instances (i.e., reviews), yet a large number...