نتایج جستجو برای: we used data mining techniques such as different classification and clustering approaches
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The present study proposes a Customer Behavior Mining Framework on the basis of data mining techniques in a telecom company. This framework takes into account the customers’ behavior patterns and predicts the way they may act in the future. Firstly, clustering technique is used to implement portfolio analysis and previous customers are divided based on socio-demographic features using k</em...
Clustering is one of the main techniques in data mining. Clustering is a process that classifies data set into groups. In clustering, the data in a cluster are the closest to each other and the data in two different clusters have the most difference. Clustering algorithms are divided into two categories according to the type of data: Clustering algorithms for numerical data and clustering algor...
Text mining, as one major school in Knowledge Discovery in Data (KDD), mines hidden patterns, rules, regularities and trends from textual data / non-database-data (i.e., text files, web documents, etc.). It is quite different from data mining (another well-known major school in KDD): the data structure of texts, dealt by text mining, is considered implicit, whereas traditional database-data, de...
worship is submission and humitility with believe to divinity in fornt of god. in jewish religion ,worship is submission of the god inall the ordes and devosion tohim .worshio is not only so widely in islam and jew and does not include pray and fast and etc but also is every action that human does with divine intention and to content him. worship has huge and excellent rank in qoran and old te...
abstract the aim of the present study is to explore the impact of the cognitive reading strategy instruction on learners reading self-efficacy and their reading achievement. in order to fulfill this purpose, from 120 participants, 90 intermediate efl learners as an experimental group were chosen from three different educational settings namely, yazd university, yazd science and art un...
the methods which are used to analyze microstrip antennas, are divited into three categories: empirical methods, semi-empirical methods and full-wave analysis. empirical and semi-empirical methods are generally based on some fundamental simplifying assumptions about quality of surface current distribution and substrate thickness. thses simplificatioms cause low accuracy in field evaluation. ful...
Nowadays, data mining and machine learning techniques are widely used in electronic applications in different areas such as e-government, e-health, e-business, and so on. One major and very crucial issue in these type of systems, which are normally distributed among two or more parties and are dealing with sensitive data, is preserving the privacy of individual’s sensitive information. Each par...
In data mining two important tasks involved are classification and clustering. In general, in classification the classifier assigns a class label from a set of predefined classes to a new input object. Whereas, given a set of objects, clustering creates different groups of these objects using some similarity measure. In the context of machine learning, classification is supervised learning and ...
In data mining two important tasks involved are classification and clustering. In general, in classification the classifier assigns a class label from a set of predefined classes to a new input object. Whereas, given a set of objects, clustering creates different groups of these objects using some similarity measure. In the context of machine learning, classification is supervised learning and ...
In data mining two important tasks involved are classification and clustering. In general, in classification the classifier assigns a class label from a set of predefined classes to a new input object. Whereas, given a set of objects, clustering creates different groups of these objects using some similarity measure. In the context of machine learning, classification is supervised learning and ...
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