The special issue on Machine Learning (ML) and Knowledge Mining (KM) invites the researchers /Academia to submit the original work in the area of Machine learning and Knowledge Mining. Machine learning and Knowledge Mining represents the development in the field of Computer Science, Artificial Intelligence, Robotics & Business Intelligence and played vital role in information technology and sciences. Basically Machine learning is the technology of implementing a system which can act without being explicitly programmed. ML & KM has the ability to adapt to new circumstances and to detect and extrapolate patterns. One key goal of ML and KM are to be able to generalize from limited sets of data.
Machine learning has been used to develop self-driving cars, practical speech recognition system, effective web search engines, and a greatly improved understanding of the human genome. In general Machine learning deals with designing and developing algorithms to evolve behaviors based on empirical data. Machine learning and Knowledge Mining applications includes algorithms to identify spam or to stop credit card fraud, systems that analyze past sales data to predict customer behavior, extract knowledge from bioinformatics data, images and video, optimize robot behavior so that a task can be completed using minimum resources, identify hear failures not limited to them but a long list of interesting and extremely useful applications. Machine learning and Knowledge Mining is so persistent today that we probably use it dozens of times a day without knowing it.
The main scope of this special issue is to bring together applications of machine learning in the area given below in order to give a wide scene of techniques that can be effectively applied and also to show how such techniques should be adapted to each particular domain.
Key Topics :
- Regression and prediction
- Problem solving and planning
- Neural information processing
- Vision and speech perception
- Heterogeneous and streaming data
- Natural language processing
- Probabilistic Models and Methods
- Reasoning and inference;
- Marketing and social sciences
- Data mining;
- Knowledge Discovery
- Web mining;
- Information retrieval;
- Design and diagnosis;
- Game playing;
- Streaming data;
- Music Modeling and Analysis;
- Robotics and control;
- Multi-agent systems;
- Social sciences;
- Industrial, financial and scientific applications of all kind.
Special Session Chair
Dr Poonam Tanwar, Manav Rachna International Institute of Research & Studies, Faridabad, India
Dr Seema Rawat, Assistant Professor. Amity University, Noida (Uttar Pradesh), India
Ms Nidhi Garg, Assistant Professor, Manav Rachna International Institute of Research & Studies, Faridabad (Uttar Pradesh), India