Prediction and Analysis for Knowledge Representation and Machine Learning

One of the domains of artificial intelligence is knowledge-representation that focuses on the designing of the computer representation which acquires information across the world for solving complex problems. This book illustrates different techniques and structures that are used in knowledge representation and machine learning. Addresses the representational adequacy for the representation of required knowledge. Manipulates inferential adequacy for the representation of knowledge for developing new knowledge inferred from original knowledge. Acquiring inferential and acquisition efficiency by acquiring new knowledge using automatic methods. Based on the latest technology covering major challenges, issues, and advances. Covers concepts for developing latest applications using embedded machine learning techniques. The aim of this book is to draw the attention of graduates, researchers and practitioners working in field of information technology and computer science (in knowledge representation in machinelearning) towards the basic and advance concepts--