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$$K$$ K -means is a partitional clustering technique that is well known and widely used for its low computational cost. However, the performance of $$K$$ K -means algorithm tends to be affected by skewed data distributions, i.e., imbalanced data. They often produce clusters of relatively uniform sizes, even if input data have varied cluster size, which is called the “uniform effect”. In...
Infosys Campus Connect (CC) is an industry-academia partnership initiative to evolve a model through which Infosys and engineering institutions can partner to enhance the education level of engineering students nationwide and increase employability of these engineers for growth requirements in Information Technology (IT) space. CC, therefore helps partner colleges groom Industry ready engineers. As...
This paper focuses on fostering problem solving skills of learning community through innovative knowledge events. Engineering institutions are the natural bedrock for Information Technology (IT) talent in the knowledge economy. As India moves towards becoming a true global leader in IT, these institutions and the IT industry have realized the need to scale up industry-ready quality students to meet...
The Infosys seeks to partner with academic institutions to enhance the pool of highly capable talent to support industry growth in its country of operation by leveraging learning to enhance industry readiness. Infosys has conceptualized several programs to enhance industry readiness and raise awareness of Computers and power of Information Technology. One such initiative is SPARK that built on the...
Web Usage Mining (WUM) is one of the categories of data mining technique that identifies usage patterns of the web data, so as to perceive and better serve the requirements of the web applications. The working of WUM involves three steps - preprocessing, pattern discovery and analysis. The first step in WUM - Preprocessing of data is an essential activity which will help to improve the quality of...
Due to increased usage of web as a medium of publication by entrepreneurs and federal agencies, a massive amount of data is stored in structured and unstructured forms over the web. This leads to page-cluttering, which makes it difficult to distinguish the content of interest from superfluous data such as billboards, and patent and other announcements. Web Usage Mining (WUM) is a type of data mining...
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