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International Conference on Data Mining and Big Data (IC-DMBD’2016) will be jointly held with International Conference on Swarm Intelligence (ICSI’2016) in Bali, Indonesia, from June 25 to 30, 2016. The theme of the DMBD-ICSI’2016 is “SERVING LIFE WITH DATA SCIENCE ”.

Data mining refers to the activity of going through big data sets to look for relevant or pertinent information. This type of activity is really a good example of the old axiom “looking for a needle in a haystack.” The idea is that businesses collect massive sets of data that may be homogeneous or automatically collected. Decision-makers need access to smaller, more specific pieces of data from those large sets. They use data mining to uncover the pieces of information that will inform leadership and help chart the course for a business. Big data contains huge amount of data and information and is worth researching in depth. Big data, also known as massive data or mass data, referring to the amount of data involved that are too great to be interpreted by a human. However, the methods to process big data are ineffective. Currently, the suitable technologies include data mining, A/B testing, crowdsourcing, data fusion and integration, genetic algorithms, machine learning, natural language processing, signal processing, simulation, time series analysis and visualization. But real or near-real time information delivery is one of the defining characteristics of big data analytics. It is important to find new methods to enhance the effectiveness of big data. With the advent of big data analysis and intelligent computing techniques we are facing new challenges to make the information transparent and understandable efficiently. The DMBD-ICSI’2016 will provide an excellent opportunity and/or an academic forum for academia and practitioners to present and discuss the latest scientific results and methods, the innovative ideas and advantages in theories, technologies and applications in data mining, big data and intelligent computing. The technical program will cover all aspects of data mining, big data and swarm intelligence as well as intelligent computing methods applied to all fields of computer science, signal/information processing, machine learning, data mining and knowledge discovery, robotics, big data, scheduling, game theory, parallel realization, etc.