In this paper, a recommendation system for querying web pages is developed. When users query web pages through a search engine, the query keywords, browsed web pages, and feedback values are collected as user query transactions. A clustering algorithm based on bipartite graph analysis is designed to determine clusters of query keywords and the browsed web pages, called access preference cluster...

Stream text collections demand a thorough sophisticated method to explore the massive data and effectively extract valuable information. We propose a force-directed method to dynamically visualize stream text documents. The method captures events as they occur, injects them into the system, and clusters them on-the-fly. Typically, keywords are used to calculate similarity and accordingly steer ...

This paper present lease agreement regulations in selected European countries. The lease agreement has a long history and now is one of the main ways to manage agricultural lands in Europe. The analysis of individual regulations, which has been done, indicates that this agreement is very important to build social relations in agriculture and society. This article provides an analysis of the leg...

Data mining is a technique of analyzing the dataset such that the final conclusion can be accessed easily and quickly from the dataset. Here in this paper association rule mining technique is implemented for the analysis of agricultural dataset. The idea is to apply association rule mining technique for generating rules and establishing a relationship between them .So as to enhance crop product...

Rankings for output of Chinese main agricultural commodity in the world for 1978, 1980, 1990, 2000, 2006, 2007 and 2008 have been released in United Nations FAO Database. Unfortunately, where the ranking of output of Chinese cotton lint in the world for 2008 was missed. This paper uses sequential data mining methods with decision rules filling this gap. This new data mining method will be help ...