A User-Centered Log-Based Information Retrieval System Using Web Log Mining: An Efficient Information Retrieval System

A User-Centered Log-Based Information Retrieval System Using Web Log Mining: An Efficient Information Retrieval System

Sathiyamoorthi V (Sona College of Technology, India)
DOI: 10.4018/978-1-5225-2013-9.ch014
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Abstract

It is generally observed throughout the world that in the last two decades, while the average speed of computers has almost doubled in a span of around eighteen months, the average speed of the network has doubled merely in a span of just eight months! In order to improve the performance, more and more researchers are focusing their research in the field of computers and its related technologies. Data Mining is also known as knowledge discovery in database (KDD) is one such research area. The discovered knowledge can be applied in various application areas such as marketing, fraud detection, customer retention and production control and marketing to improve their business. It discovers implicit, previously unknown and potentially useful information out of datasets. Recent trends in data mining include web mining where it discovers knowledge from web based information to improve the page layout, structure and its content thereby it reduces the user latency in accessing the web page and website performance.
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The traditional cache replacement algorithms used are FIFO, LRU and LFU. FIFO expels an object based on arrival time. The object which has entered first will be removed first regardless of its accessibility. LRU will evict the least recently used Web objects when cache is full. It is easy to implement but efficient only for uniform sized objects; it is not suitable for Web caching as it does not consider the object size or the download latency of Web objects and object access frequency in removal policy (Koskela et al 2003).

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