Dissertation > Excellent graduate degree dissertation topics show

Subject-oriented web -based technology research and implementation of classification

Author: WuFei
Tutor: TanYunMeng
School: Huazhong University of Science and Technology
Course: Communication and Information System
Keywords: Web page classification Theme -based classification K- nearest neighbor algorithm Feature Extraction
CLC: TP393.092
Type: Master's thesis
Year: 2011
Downloads: 28
Quote: 0
Read: Download Dissertation

Abstract


Search engines are currently the most commonly used network information retrieval tools , there is a strong dependence of its people , the majority of search engines is taken retrieval strategy based on keyword matching , but with the increasing amount of information on the Internet , which kind of search strategy implementation effectiveness has been greatly affected. To enable the Internet search engines to retrieve information to accurately locate and retrieve the information to improve the correlation between the target , Web classification techniques are used to assist search engines retrieve network information to optimize search engine search results. Web classification techniques , automatic text classification technology is based on the developed, Web classification system is essentially caused by natural language processing techniques and machine learning principles to achieve a combination of systems, and classification is the core of Web classification system section. This article describes several current more mature and popular classification algorithms, by comparing their respective strengths and weaknesses , taking into account the actual situation in the network sampling , from which selected K- Nearest Neighbor algorithm constructs the classifier , and use this classification determines the specified mapping unknown text category. Based on the study of the structure and characteristics of Chinese web pages , based on the classification system designed to accomplish this , and in this article explains each of the process steps to build this system , this paper focuses on the classification system constitutes an important part of the text in several pre- processing , feature extraction theme , create a feature library , class measure, and in a real network environment for the experiment. Concrete realization of the system and on the use of a combination of search engine from the search engines to crawl the page content to extract features and create signatures for category measure . Finally, according to the current commonly used indicators to measure the system detects a classifier classification accuracy . Finally, some of the targeted site to do the experiment, and offers a range of experimental data , evaluation parameters to prove the effectiveness of this system , feasibility , and expounded the automatic classification techniques can be used to optimize the network information search engines accuracy and relevance.

Related Dissertations

  1. Research on Automatic Detection Algorithm for Substructure Distress of Highway Pavement Based on SVM,U418.6
  2. ISAR Imaging Simulation of Space Targets and Target Recognition Based on ISAR Images,TN957.52
  3. Research on Feature Extraction and Classification of Pulse Waveform for Cholecystitis and Nephrotic Syndrome Diagnosis,TP391.41
  4. Application of Q-Learning in the Content-Based Image Retrieval Technology,TP391.41
  5. Research on Transductive Support Vector Machine and Its Application in Image Retrieval,TP391.41
  6. Research on Feature Extraction and Classification of Tongue Shape and Tooth-Marked Tongue in TCM Tongue Diagnosis,TP391.41
  7. Research on Visual Measurement for Spacecraft Rendezvous and Approach,TP391.41
  8. Research on the Image Real-Time Acquisition, Storage and Image Processing System,TP391.41
  9. Feature Extraction, Selection and Combination in Lipreading,TP391.41
  10. Multi-currency Notes Technology Research and Implementation,TP391.41
  11. The Research on Paper Currency Classification Method Based on Harr-Like Feature and Minimal Ball Including Samples,TP391.41
  12. Pavement Distress Recognition Based on Image,TP391.41
  13. Research on Visual Detection and Tracking of Mobile Robots,TP242.62
  14. Research on Fusion Algorithm of Hyper Spectral and High Spatial Resolution Remote Sensing Image,TP751
  15. An Approach for Identifying a Plant Resistance Gene Based on the Random Forest,Q943
  16. Tobacco Diseases Auto-Recognition Research Based on Image Processing Technology,S435.72
  17. Research on Nondestructive Detection Technology for External Qualities of Papayas Based-on Vision,S667.9
  18. Research on Identification System of Cashmere and Wool Fiber,TS101.921
  19. Research for Infrared Image Target Identification and Tracking Technology,TP391.41
  20. The Compression and Fusion Technique Research of Underwater Target Feature,TN911.7
  21. Research of Diagnosing Cucumber Diseases Based on Hyperspectral Imaging,S436.421

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Computer network > General issues > The application of computer network > Web browser
© 2012 www.DissertationTopic.Net  Mobile