Hadoop

¬Big Data Analytics Driven Enterprise Asset Management for Asset Intensive Industries. Abstract “Information is the oil of the 21st century, and analytics is the combustion engine.” was introduced by Peter Sondergaard during Gartner Symposium/ITxpo 2011. In fact, data is like oil! It has value, but it needs to be extracted and refined to get the true value from it. In today’s business climate, organisations across various sectors are realising the importance of collecting data from different business

Multimedia concept detection is a challenging topic due to the well known class imbalance issue especially in a big data environment. With the rapid growth of multimedia data such as audio, image and video, as well as text data, applying powerful data mining approaches is a necessity to tackle issues of large and imbalanced datasets. For this purpose, in this paper, an Importance Factor based Multiple Correspondence Analysis (IF-MCA) framework is proposed with MapReduce implementation for dealing

JOMO KENYATTA UNIVERSITY OF AGRICULTURE AND TECHNOLOGY SCHOOL OF COMPUTING AND INFORMATION TECHNOLOGY Optimized Dynamic Latent Topic Model for Big Text Data Analytics NAME: Geoffrey Mariga Wambugu REGISTRATION NUMBER: CS481-4692/2014 LECTURER: Prof. Waweru Mwangi A thesis proposal submitted in partial fulfilment of the requirement for the Unit SCI 4201 Advanced Research Methodology of the degree of Doctor of Philosophy in Information Technology at the School of Computing and Information Technology

Business Intelligence Plan Executive Summary The purpose of this report is to explain the importance of Business Intelligence and all of its components for implementation into the business structure. During the recent years obtaining useful information in real time has become something that is extremely important, if not even a critical, factor of success for companies. The time managers have available for use in making business decisions has been reduced dramatically

SECURITY GUIDANCE FOR CRITICAL AREAS OF FOCUS IN CLOUD COMPUTING V3.0 SECURITY GUIDANCE FOR CRITICAL AREAS OF FOCUS IN CLOUD COMPUTING V3.0 INTRODUCTION The guidance provided herein is the third version of the Cloud Security Alliance document, “Security Guidance for Critical Areas of Focus in Cloud Computing,” which was originally released in April 2009. The permanent archive locations for these documents are: http://www.cloudsecurityalliance.org/guidance/csaguide.v3.0.pdf (this document)

Complete Listing of Chapter Opening Cases, Insight Cases, E-commerce in Action Cases, and Case Studies CHAPTER 1 THE REVOLUTION IS JUST BEGINNING Opening Case: Pinterest: A Picture Is Worth a Thousand Words Insight on Technology: Will Apps Make the Web Irrelevant? Insight on Business: Start-Up Boot Camp Insight on Society: Facebook and the Age of Privacy Case Study: The Pirate Bay: Searching for a Safe Haven CHAPTER 2 E-COMMERCE BUSINESS MODELS AND CONCEPTS Opening Case: Twitter’s Business