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International Journal of Signal Processing, Image Processing and Pattern Recognition 55 Unstructured Document Categorization: A Study
| Content Provider | CiteSeerX |
|---|---|
| Author | Das, Poulami Das, Purnendu Ganguly, Debashis Mitra, Kheyali Samir Kumar, B. Bhattacharyya, Debnath Kim, Tai-Hoon |
| Abstract | Abstract. The main purpose of communication is to transfer information from one corner to another of the world. The information is basically stored in forms of documents or files created on the basis of requirements. So, the randomness of creation and storage makes them unstructured in nature. As a consequence, data retrieval and modification become hard nut to crack. The data, that is required frequently, should maintain certain pattern. Otherwise, problems like retrieving erroneous data or anomalies in modification or time consumption in retrieving process may hike. As every problem has its own solution, these unstructured documents have also given the solution named unstructured document categorization. That means, the collected unstructured documents will be categorized based on some given constraints. This paper is a review which deals with different techniques like text and data mining, genetic algorithm, lexical chaining, binarization method to reach the fulfillment of desired unstructured document categorization appeared in the literature. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Main Purpose Time Consumption Data Retrieval Binarization Method Data Mining Signal Processing Erroneous Data Lexical Chaining Hard Nut Different Technique Image Processing Certain Pattern International Journal Unstructured Document Categorization Unstructured Document |
| Content Type | Text |
| Resource Type | Article |
