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Large-scale data mining has become a very difficult issue using traditional methods because the data complexity is very high. In the proposed approach, an integration of three methods; Optimised Principal Component Analysis (OPCA), Optimised Enhanced ...

This paper proposes a supervised and fully-distributed intelligent classification algorithm that is accurate and scalable for large networks. In addition, the resulting algorithm has the following interesting features: fully-distributed, asynchronous, ...

Feature selection is an important technique for data mining. Despite its importance, most studies of feature selection are restricted to batch learning. Unlike traditional batch learning methods, online learning represents a promising family of ...

We are living in the peta-byte era. We have larger and larger data to analyze, process and transform into useful answers for the domain experts. Robust data mining tools, able to cope with petascale volumes and/or high dimensionality producing human-...

Behavioral targeting (BT) is a widely used technique for online advertising. It leverages information collected on an individual's web-browsing behavior, such as page views, search queries and ad clicks, to select the ads most relevant to user to ...

Caesars Entertainment, the largest provider of branded casino entertainment, captures a wealth of data for 40 million+ customers through its Total Rewards program. In-depth data analysis has helped Caesars weather the economic downturn by prioritizing ...

The challenge of predicting retail sales on a product-by-product basis throughout a network of retail stores has been researched intensively by applied econometricians and statisticians for decades. The principal tools of analysis have been linear ...

We are living in the peta-byte era. We have larger and larger data to analyze, process and transform into useful answers for the domain experts. Robust data mining tools, able to cope with petascale volumes and/or high dimensionality producing human ...

The amount of online photos and videos is now at the scale of tens of billions. To organize, index, and retrieve these large-scale rich-media data, a system must employ scalable data management and mining algorithms. The research community needs to ...

On the grid log data of more than 28 million jobs collected during 20 months, we use statistical and data mining methods to examine the relations primarily between users, computing elements and jobs in the network. The results of the large-scale ...