What is XPEDITER ? XPEDITER/TSO is a debugging and testing tool that automates the tasks of identifying problems, applying solutions, analyzing the impacts of changes, and testing the fixes. Xpeditor is the powerful testing tool used both in Online and batch application debugging in Mainframe Environment. …
What is SAP HANA ? SAP HANA came to market in just few years back (might be around 2011). It’s still under testing in many companies. So it pretty new to the market. But the performance of the SAP HANA is comparatively 1000 times faster …
System Testing System Testing is all about Test of overall interaction of components Find disparities between implementation and specification Usually where most resources go to Involves –load, performance, reliability and security testing Goal : to compare the system or program to its original objectives. Implications …
R Tutorial – R Basic Syntax R Overview R is a free software programming language and software environment for statistical computing and graphics. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. What R can do …
Cluster Analysis : Finding groups of objects such that the objects in a group will be similar (or related) to one another and different from (or unrelated to) the objects in other groups. Examples of Clustering Applications Marketing: Help marketers discover distinct groups in their …
Outliers: A data object that deviates significantly from the normal objects as if it were generated by a different mechanism. Outliers are different from the noise data. Noise is random error or variance in a measured variable Noise should be removed before outlier detection …
Text Mining In Simple word, Text Mining is refers to refine the informational data from the bunch of data or collection of data.It also know as Text data mining which means deriving the high quality information from the existing data. Text Databases and IR …
Graph Mining Graph Mining is a Methods for Mining Frequent Subgraphs Mining Variant and Constrained Substructure Patterns Applications of Graph Mining are : Graph Indexing Similarity Search Classification and Clustering Why Graph Mining ? Graphs are ubiquitous Chemical compounds (Cheminformatics). Protein structures, biological pathways/networks (Bioinformactics). …
Recommendation System According to some known author Recommendation System is a System that produces individualized recommendations as output or has the effect of guiding the user in a personalized way to interesting or useful objects in a large space of possible options Burke (2002) A …
Fraud Detection In Simple word, Fraud Detection is the technique used to detect frauds in any system or process. Fraud can be defined as a criminal activity, involving false representations to gain an unjust advantage (Concise Oxford Dictionary) The Association of Certified Fraud Examiners estimates …