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Research Areas

Big Data is a collection of massive and complex data sets and data volumes that include huge quantities of data, data management capabilities, social media analytics, and real-time data. Big data analytics is the process of examining large amounts of data. There exist large amounts of heterogeneous digital data. Big data is about data volume and large data set’s measured in terms of terabytes or petabytes. This phenomenon is called Bigdata. After examining of Bigdata, the data has been launched as Big Data analytics. There are 5 famous characteristics of big data called 5Vs  including Volume, Velocity, Variety, Veracity, and Value. read more

Natural language processing (NLP) is an area of computer science and artificial intelligence concerned with the interaction between computers and humans in natural language. The ultimate goal of NLP is to help computers understand language as well as we do. It is the driving force behind things like virtual assistants, speech recognition, sentiment analysis, automatic text summarization, machine translation and much more. Applications of NLP techniques include voice assistants like Amazon’s Alexa and Apple’s Siri, but also things like machine translation and text-filtering. read more

In the context of network theory, a Complex Network is a graph (network) with non-trivial topological features—features that do not occur in simple networks such as lattices or random graphs but often occur in networks representing real systems. The study of complex networks is a young and active area of scientific research (since 2000) inspired largely by empirical findings of real-world networks such as computer networks, biological networks, technological networks, brain networks, climate networks and social networks. read more

Question Answering (QA) Systems is an automated approach to retrieving correct responses to the questions asked by humans in natural language. The fundamental thought behind QA system is to assist man-machine interaction. in this paper, you can find a taxonomy for characterizing Question Answer (QA) systems, briefly survey major QA systems described in literature and provide a qualitative analysis of them. Finally, a comparison between these approaches based on certain features of QA system found critical in the study has been done, in order to bring an insight to research scope in this direction. 

Data Mining may be regarded as the process of discovering insightful and predictive models from massive data. It is the art of extracting useful information from large amounts of data. It combines traditional data analysis with sophisticated algorithms for processing large amount of data. It is an interdisciplinary field merging concepts from database systems, statistics, machine learning, computing, information theory, and pattern recognition. read more

Artificial Intelligence (AI) is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans. AI research has been defined as the field of study of intelligent agents, which refers to any system that perceives its environment and takes actions that maximize its chance of achieving its goals. read more

Machine Learning (ML) is a branch of artificial intelligence (AI) that enables computers to “self-learn” from training data and improve over time, without being explicitly programmed. Machine learning algorithms are able to detect patterns in data and learn from them, in order to make their own predictions. In short, machine learning algorithms and models learn through experience. read more