Machine learning

Predictive Analytics: A Gold-Mine Yet To Be Exploited To Its Zenith Akanksha Pandey Information Technology Department, VESIT, Mumbai-74, India. Abstract 1. Introduction The proliferation, ubiquity and increasing power of computer technology has increased the volume of data oday`s mobile technologies and social media have collection and it`s storage manifold. This led to unleashed an exponential increase

Processing (NLP) deals with actual text element processing. The text element is transformed into machine format by NLP. Artificial Intelligence (AI) uses information provided by the NLP and applies a lot of maths to determine whether something is positive or negative. Several methods exist to determine an author’s view on a topic from natural language textual information. Some form of machine learning approach is employed and which has varying degree of effectiveness. One of the types of natural language

by machines. In computer science, an ideal "intelligent" machine is a flexible rational agent that recognize its environment and takes actions that increase its chance of success at some goal. also, the term "artificial intelligence" is applied when a machine performs "cognitive" functions, such as "learning" and "problem solving". SiteZeus is a great example of using AI in developing the business by helping companies to create an intelligence platform. They use big data and machine learning to recommend

extracurricular projects from robotics clubs and individual professors. Altogether, these further spurred my interest in Machine Learning and Robotics, so I decided to further refine my interest by pursuing a master’s degree in robotics here at Carnegie Mellon University (CMU), as the robotics research here is unparalleled. At CMU, I am currently working with Prof. Manuela Veloso, Head, Machine Learning Department, and Dr. Stephanie Rosenthal. During my first year at CMU, I pioneered the concept of Verbalization

computational tasks throughout the computing clusters. It uses high level components to handle the task workload such as Machine learning. In Spark, components are closely coupled which has several advantages such as any improvement in lower layers makes the higher level libraries and component perform better. Consider the case when the optimization is added, SQL and machine learning libraries also give better performance. Other most important benefit is that it reduces the costs of running the stack

Multi-label Semantic Relation Classification Between Pair of Nominals Kartik Dhiwar, PG Scholar, Department of Computer Science and Engineering, SSGI, SSTC, Bhilai (CG), India kartikdhiwar21@gmail.com Abhishek Kumar Dewangan Professor, Department of Computer Science and Engineering, SSGI, SSTC, Bhilai (CG), India abhishek.dew2006@gmail.com Abstract: Relation classification is a keynote in the field of Natu-ral Language Processing (NLP) to mine information from text facing problems of over-reliance

include development of decision models that mathematically maps the decision structure using optimization technology that identifies the most effective strategies. They create predictive algorithms to design testing required for active, continuous learning and extrapolation of a more efficient strategy to a wider set of scenarios than historically encountered events. Optimization includes a mathematical modeling and programming language, an easy-to-use development and visualization environment, and

Lower and upper approximations of the input features are weighted by input synapses learnt through training phase. The fuzzy rough proposed model design and implementation are declared. The experiments used WDBC and WPBC data sets from the UCI machine learning repository. The experimental results proved the fuzzy rough model ability to classify new instances compared with the conventional neural network. Keywords:Data Mining,

Applications and Impacts in Nano-Technology Medicine Researchers are developing customized nanoparticles the size of molecules that can deliver drugs directly to diseased cells in your body. When it's perfected, this method should greatly reduce the damage treatment such as chemotherapy does to a patient's healthy cells. Example: Cancer Therapy Electronics Nanotechnology holds some answers for how we might increase the capabilities of electronics devices while we reduce their weight and power consumption

Data stream mining is a stimulating field of study that has raised challenges and research issues to be addressed by the database and data mining communities. The following is a discussion of both addressed and open research issues [19]. Handling the continuous flow of data streams This is a data management issue. Traditional database management systems are not capable of dealing with such continuous high data rate. Novel indexing, storage and querying techniques are required to handle this non