| Type of Material: | Thesis |
| Title: | Equipped Search Results Using Machine Learning From Web Databases |
| Researcher: | AHMED MUDASSAR ALI |
| Guide: | RAMAKRISHNAN, M. |
| Department: | Department of Engineering and Technology(Computer Science and Engineering) |
| Publisher: | Bharath University, Chennai |
| Place: | Chennai |
| Year: | 2017 |
| Language: | English |
| Subject: | Computer Science | Computer Science Theory and Methods | Engineering and Technology | Computer Science and Information Technology | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai; 2017; D08CS018 |
| Fulltext: | Shodhganga |
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| 008 | __ | 240919t2017||||ii#||||g|m||||||||||eng|| |
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| 040 | __ | |aBHAU_600073|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aAHMED MUDASSAR ALI|eResearcher |
| 110 | __ | |aDepartment of Engineering and Technology(Computer Science and Engineering)|bBharath University, Chennai|dChennai|ein|0U-0446 |
| 245 | __ | |aEquipped Search Results Using Machine Learning From Web Databases |
| 260 | __ | |aChennai|bBharath University, Chennai|c2017 |
| 300 | __ | |dDVD |
| 502 | __ | |bPhD|cDepartment of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai|d2017|oD08CS018 |
| 520 | __ | |aDatabase driven web pages play a vital role in multiple domains like online shopping, e- education systems, cloud computing etc. Such databases are accessible through HTML forms and user interfaces. They return the result pages which come from the underlying databases as per the nature of the user query. Such types of databases are termed as Web Databases. Web databases have been frequently employed to search the products online for retail industry. They can be private to a retailer/concern or publicly used by a number of retailers. Whenever the user queries these databases using keywords, most of the times the user will be deviated by the search results returned. The reason is no relevance exists between the keyword and Search Results. A typical web page returned from a Web Database has multiple Search Result Records. An easier way is to group the similar Search Result Records into one cluster in such a way the user can be more focused on his demand. It is proposed to develop a novel system called Clusteri |
| 650 | __ | |aComputer Science and Information Technology|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aComputer Science |
| 653 | __ | |aComputer Science Theory and Methods |
| 653 | __ | |aEngineering and Technology |
| 700 | __ | |aRAMAKRISHNAN, M.|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/321484|yShodhganga |
| 905 | __ | |afromsg |
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