Big Data Analysis using Multi Linear Regression and Simulation techniques in predicting the growth of a business

This paper developed a framework for enabling both small and large business enterprises remain profitable in business by making use of multi linear regression technique in predicting her business growth from the Big Data collected from respondents about the various external factors affecting a business entity such as, (i) the purchasing power of the people, (ii) existence of similar competitive products/services, (iii) availability of retail outlets, (iv) means of advertisement, and (v) means of transportation. A simple linear regression model was formulated in respect of each of these external factors (which are the independent or predictor variables) and its causality effect to the growth of a business (which is the response variable). An algorithm written in Java was used to simulate 10,000 input values for both the predictor and response variables in order to determine the parameters for each of the regression models. The derived parameters from the respective models were used to formulate the multi linear regression model for predicting the overall growth of a business. Results showed that the model gave very good predictions of a business growth index whenever the values of the external factors were varied to represent a typical real-life scenario. Business managers for small, medium, and large enterprises will therefore find the developed framework highly invaluable for strategic planning in order to increase their profit margins

Advancement in E Recruitment Towards Expert Recruitment System (ERS)

The inspiration drawn from e-recruitment is in making the process to become more creative, formidable and as well to be cost effective. We are desirous of achieving a lot more attraction than it is currently in order to sustain the process. Before now, we have some existing systems which were traditional methods like employment agencies, doing adverts through the print media. This process was relatively very slow and stressful. In this work, we have developed a remolded ERS based on our former work to hire applicants by accepting applications online and conduction Test and interview through the expert systems knowledge base until the candidate is eventually hired. The expert system is of a recruitment process model where applicants don’t actually have direct interaction with the employers but with the expert system that makes decision. The system provides response to applicant request and also provides procedure for recruitment from start to finishing stage, when the job seeker is now called successful employee. We implored Water fall model in our design. In this model, each stage essentially completes before the next phase can activate so that there will be no overlapping in the phases

An Academic Live Streaming Multimedia for Video and Audio Workshop

This work creates unlimited privileges for academic users to access videos and audio contents for educational, entertainment, advertisement and other purposes. It allows users to become fully absorbed in its multimedia content by utilizing a variety of multimedia elements such as audio and video elements and its technologies. It creates a support for user reaction, it also provides statistical support to track the period when users listened to an audio or video content. It also provides a functionality for representing speech from audio or video content in text