Query redirection provides a mechanism for BI Server to determine the set of logical table sources (LTS) applicable to a logical request whenever a request can be satisfied by more than one LTS.The Oracle BI repository shipped in Oracle Fusion applications contains metadata content for real-time reporting analysis (using Transactional Business Intelligence) and historical reporting (using BI Ap...

In this paper, the proposed approach is an unique combination of two most popular clustering algorithms Particle Swarm Optimization (PSO) and K-Means to achieve better clustering result. Clustering is a technique of grouping homogeneous objects of a dataset with aim to extract some meaningful pattern or information. K-Means algorithm is the most popular clustering algorithm because of its easy ...

This research represents different techniques in content-based image retrieval. It includes the discussion about fundamental aspects of CBIR and features for Image Retrieval like color, texture and shape. We briefly discuss the similarity measures based on which matches are made and images are retrieved. Another important issue in content-based image retrieval is effective indexing and fast sea...

Intrusion Detection System (IDS) due to novel attack method or upgraded. Because many current IDSs are constructing by point instruction of professional knowledge, changes to IDSs are costly and slow. Intrusion detection techniques can be categorize into irregularity detection and mistreat detection. Anomaly detection systems, for example, IDES Intrusion detection systems (IDS) process large am...

Clustering is one of the very important technique used for classification of large dataset and widely applied to many applications including analysis of social networking sites, aircraft accidental, company performance etc. In recent days, Communication, advertising through social networking sites are most popular and interactive strategy among the users. This research attempts to find the larg...

This paper proposes a text-independent speaker identification system based on Mel Frequency Cepstral Coefficients as a feature extraction and Vector Quantization technique that would minimize the data required for processing. The correlation between the identification success rate and the various parameters of the system including the feature extraction tools and the data minimization technique...

We have developed the relativistic mean field model to the study of kaonic nuclei. Starting with the Lagrangian for nucleons and (anti)kaon meson, the equations of motion for nucleon field, scalar meson, vector meson and (anti)kaon meson fields are deduced. By self-consistently solving the equations of motion, the K−-nuclear deeply bound states are obtained for the nuclei with A ≥ 8. The K−-nuc...

Data clustering is a process of organizing data into certain groups such that the objects in the one cluster are highly similar but dissimilar to the data objects in other clusters. K-means algorithm is one of the popular algorithms used for clustering but k-means algorithm have limitations like it is sensitive to noise ,outliers and also it does not provides global optimum results. To overcome...

The smart meter offered exceptional chances to well comprehend energy consumption manners in which quantity of data being generated. One request was the separation of energy load-profiles into clusters of related conduct. The Research measured the resemblance between groups them together and load-profiles into clusters by k-means clustering algorithm. The cluster met, also called “Gender (Male/...