- Filter by:
-
Topic
-
Users get muddled while searching for specific documents on web. Retrieving relevant information from reservoir of documents is a cumbersome task. It is like finding a pixel of image from big picture gallery. Web mining is one of technologies that uses concept of data mining to explore useful prefatory patterns...
Download Now -
Water-Filling: A Novel Approach of Load Rebalancing for File Systems in Cloud
File systems serves as the backend for cloud computing and load balancing is the relevant issue in context of resource utilization for distributed file systems in cloud. Prior to this, it is fruitful to identify the load on the storage servers (nodes) which is equivalent to number of file chunks...
Download Now -
Probabilistic Distance Clustering: A Spatial Clustering Approach for Remote Sensing Imagery
Spatial clustering has been widely applied in various applications, especially in remote sensing technology. Clustering the geographical nature of the remote sensing imagery is challenging due to its wide and dense spatial distribution. Renowned clustering algorithms such as k-means and other probabilistic clustering algorithms have been reported in the literature....
Download Now -
Comparative Study of Frequent Itemset Mining Algorithms Apriori and FP Growth
Frequent item set mining leads to the discovery of associations among items in large transactional database. In this paper, two algorithms of generating frequent item sets are discussed: apriori and FP-growth algorithm. In apriori algorithm candidates are generated and testing is done which is easy to implement but candidate generation...
Download Now -
A Multiple Regression Technique in Data Mining
The growing volume of data usually creates an interesting challenge for the need of data analysis tools that discover regularities in these data. Data mining has emerged as disciplines that contribute tools for data analysis, discovery of hidden knowledge, and autonomous decision making in many application domains. The Multiple regressions...
Download Now -
Evaluating Techniques for Mining Customer Purchase Behavior and Product Recommendation- A Survey
Companies these days rely strongly upon their previous data history for predicting future trends in their business operations and strategies. Whether forecasting inventory or estimating sales, data mining has emerged as a new vibrant tool for extracting potential knowledge hidden inside the purchase behavior of the customer. Mining has made...
Download Now -
Business Analytics in Traffic Management System
In this system traffic data like videos, number of vehicles, type of vehicles, etc. is used to infer patterns of traffic and congestion. The traffic data collected is very huge (terabytes). Hence big data analysis is required for analysis of this data and to make some conclusions and develop a...
Download Now -
Phrase Prioritization Algorithm and Supporting Data Structure for Retrieval
In this paper, the authors lay the proposed algorithm, which prioritizes the phrases of the search queries. This algorithm suggests the methodology of fetching phrases and then searching all possible phrases, so that recall value can be increased. The most important issue in this regard is the usage of such...
Download Now -
Recommend Websites Through Weblog Files Using Association Rule
In recent years netizens prefers that web accessing is fast in nature and give appropriate results without any confusion. Recommendation is one of the most useful systems based on analyzing web log files to be applied for web personalization in future. Web Usage Mining (WUM) is also applicable for online...
Download Now -
A Survey on Applications of Data Mining Using Clustering Techniques
Data mining is a process that explores and analyses large data sets in order to discover meaningful patterns. Clustering is a main task of exploratory data analysis and data mining applications. Clustering is the task of grouping a set of objects in such a way that objects in the same...
Download Now