Clustering Techniques for Document Classification
نویسندگان
چکیده
منابع مشابه
Clustering Techniques for Document Classification
This paper is intended to study the existing classification and information retrieval techniques in order to use an algorithm that will group the a set of documents. Therefore, the unfolding of knowledge in texts is selected as the proper methodology to be followed and the steps are explained in order to reach the unsupervised documents classification. After conducting an experiment with three ...
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با توجه به گسترش روز افزون تقلب در حوزه بیمه به خصوص در بخش بیمه اتومبیل و تبعات منفی آن برای شرکت های بیمه، به کارگیری روش های مناسب و کارآمد به منظور شناسایی و کشف تقلب در این حوزه امری ضروری است. درک الگوی موجود در داده های مربوط به مطالبات گزارش شده گذشته می تواند در کشف واقعی یا غیرواقعی بودن ادعای خسارت، مفید باشد. یکی از متداول ترین و پرکاربردترین راه های کشف الگوی داده ها استفاده از ر...
Optimal Feature Selection for Data Classification and Clustering: Techniques and Guidelines
In this paper, principles and existing feature selection methods for classifying and clustering data be introduced. To that end, categorizing frameworks for finding selected subsets, namely, search-based and non-search based procedures as well as evaluation criteria and data mining tasks are discussed. In the following, a platform is developed as an intermediate step toward developing an intell...
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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...
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In this research, a systematic study is conducted of four dimension reduction techniques for the text clustering problem, using five benchmark data sets. Of the four methods -Independent Component Analysis (ICA), Latent Semantic Indexing (LSI), Document Frequency (DF) and Random Projection (RP) -ICA and LSI are clearly superior when the k-means clustering algorithm is applied, irrespective of t...
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ژورنال
عنوان ژورنال: Research in Computing Science
سال: 2016
ISSN: 1870-4069
DOI: 10.13053/rcs-118-1-11