Data are any facts, numbers, or text that can be processed. Data analysis is to find relationships among the data objects and then perform the remaining analysis like; clustering, classification, or anomaly analysis. A cluster is a set of objects in which each object is closer to every other object, and an entire collection of clusters is referred as clustering. On review of the papers and journals, it was found that the investors are finding difficulty in selecting better performing company for investment. Hence the objective of the research work was set to develop the clusters of NIFTY companies for better investment. Price per earnings ratios were calculated for all the 50 NIFTY companies during years 2008-2009 & 2009-2010. The speci...
Computer technology that enhances the intuitive and predictive quality of information is highly attr...
Financial corporation and banks are sort of organization that due to specialty of their work, are ve...
Over the past decade, many organizations have begun to routinely capture huge volumes of historical ...
Data mining refers to extract and identify useful information from large sets of data. This term is ...
Cluster analysis divides data into meaningful or useful groups clusters . One of the most important ...
Data mining is a new discipline lying at the interface of statistics, database technology, pattern ...
Clustering Data mining is extracting knowledge from data using data analysis tools to conduct patter...
In recent years, technological development in both the computing and data transmission fields has al...
This paper gives a brief insight about data mining, its process and the various techniques used for ...
Data Mining is sorting through data to identify patterns and establish relation ships between data p...
Competitive environment among investment firms encourage them to be able to conduct analysis related...
This graduate thesis is a study and comparison of various classification techniques applied to manuf...
This paper gives a brief insight about data mining, its process and the various techniques used for ...
Data mining is a technique for identifying patterns in large amounts of data and information. Databa...
Abstract Mining is the current hot spots, the most promising research areas has broad one, through d...
Computer technology that enhances the intuitive and predictive quality of information is highly attr...
Financial corporation and banks are sort of organization that due to specialty of their work, are ve...
Over the past decade, many organizations have begun to routinely capture huge volumes of historical ...
Data mining refers to extract and identify useful information from large sets of data. This term is ...
Cluster analysis divides data into meaningful or useful groups clusters . One of the most important ...
Data mining is a new discipline lying at the interface of statistics, database technology, pattern ...
Clustering Data mining is extracting knowledge from data using data analysis tools to conduct patter...
In recent years, technological development in both the computing and data transmission fields has al...
This paper gives a brief insight about data mining, its process and the various techniques used for ...
Data Mining is sorting through data to identify patterns and establish relation ships between data p...
Competitive environment among investment firms encourage them to be able to conduct analysis related...
This graduate thesis is a study and comparison of various classification techniques applied to manuf...
This paper gives a brief insight about data mining, its process and the various techniques used for ...
Data mining is a technique for identifying patterns in large amounts of data and information. Databa...
Abstract Mining is the current hot spots, the most promising research areas has broad one, through d...
Computer technology that enhances the intuitive and predictive quality of information is highly attr...
Financial corporation and banks are sort of organization that due to specialty of their work, are ve...
Over the past decade, many organizations have begun to routinely capture huge volumes of historical ...