SOFTWARE & DATA MINING SERVICES
Data mining is an interdisciplinary subfield of computer science, is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems.The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Aside from the raw analysis step, it involves database and data management aspects, data preprocessing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating.
Network programming involves writing computer programs that enable processes to communicate with each other across a computer network. Interprocess communication, even if it is bidirectional, cannot be implemented in a perfectly symmetric way: to establish a communication channel between two processes, one process must take the initiative, while the other is waiting for it. Therefore, network programming unavoidably assumes a client–server model: The process initiating the communication is a client, and the process waiting for the communication to be initiated is a server. The client and server processes together form a distributed system. In a peer-to-peer communication, the program can act both as a client and a server.
User experience [UX] is the professional application of different academic disciplines including psychology, human computer interaction, human factors, engineering and computer science that aims to measure the effectiveness, usability and satisfaction that products and services provide to end users. This involves studying a person's subjective emotions, and their objective performance when using a particular product, system or service. User experience includes investigating the experiential, affective, meaningful and valuable aspects of human-computer interaction and product ownership. Additionally, it includes collecting metrics of persons' performance such as the pass/fail rates, error rates, and time on task rates when using a product, system or service.