this study was carried out to 1. determine spatial variations of heavy metal deposition in agricultural soils of two rural communities (ouledbouaicha and tazakourte) of about 5790 ha in a mining area near marrakech city in morocco; 2. to assess the extent of metallic pollution generated by the mining activity and; 3. to identify the key mechanism responsible for this contamination and its relat...

Real estate industry has become a highly competitive business with an enormous amount of unstructured documents and resources. The process of data mining in such a business provides an advantage to the developers by processing those data, predicting future trends and helping them to make favorable knowledge-driven decisions. In this paper, we focus on data mining techniques and its applications...

Text Mining has become an important research area. Text Mining is the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources. In this paper, a Survey of Text Mining techniques and applications have been s presented.

Data mining has become an important area of research because of its ability to get valuable information out of the data. However with huge amounts of data stored in traditional DBMS and a requirement to support ad hoc mining, there is a necessity to integrate mining operators with traditional DBMS. This report studies a number of approaches used to perform this integration and their application...

Spatial data mining practice for the extraction of useful information and knowledge from massive and complex spatial database. Most research in this area has focused on efficient clustering algorithm for spatial database to analyze the complexity. This paper introduces an active spatial data mining approach that extends the current spatial data mining algorithms to efficiently support user-defi...

The visual senses for humans have a unique status, offering a very broadband channel for information flow. Visual approaches to analysis and mining attempt to take advantage of our abilities to perceive pattern and structure in visual form and to make sense of, or interpret, what we see. Visual Data Mining techniques have proven to be of high value in exploratory data analysis and they also hav...

Association rule mining is a data mining technique to extract interesting relationships from large datasets [1, 2]. The efficiency of association rule mining algorithms has been a challenging research area in the domain of data mining [3]. Frequent pattern discovery, the task of finding sets of items that frequently occur together in a dataset is the most resource consuming phase of the rule mi...

There has been an emerging open source data mining software development in current times. In this work I carry out an empirical study to compare the performances of open source and commercial data mining software. The results clearly reveals that before and after data preprocessing of the two NASA datasets used in this work, commercial data mining software (MATLAB) outperforms open source data ...

In this paper, we are presenting a new approach for gender & age determination based on image mining with C means clustering. Image Mining is an area which is used for pattern recognition & other application.

Dispersion modeling approach was applied for the determination of SO2 and NO2 pollution in the ambient air. The model performance has been evaluated by comparing the measured and predicted concentrations of SO2 and NO2. This has been tested to measure the air quality and predicted incremental value of pollutant’s concentrations by using the data avail...