DASC 2017 - 1st IEEE International COMPSAC Workshop on Data Science Challenges in Algorithm and Complexity

Complexity of data science has recently become harder and harder due to increasing complexity of data. Several new challenges emerged in data science ranging from software, algorithms, data and interpretation. For example, when developing software to analyze and visualize data, one faces to debug both software and data coincidently. Shortly, one needs to solve a sort of egg-and-chicken problem for software developments since errors might be originated from either software or data. How do we overcome it? When we visualize heterogeneous multidimensional data, we face the difficulty of understanding a complex system consisting of a lot of components. When we deal with high-dimensional heterogeneous data, one has to identify many interactions and understand their relationships. Additionally, these problems are today urged to be considered in a context of sustainability concepts, which introduce even more dimensions to the mere technical issues of big data. In this workshop, case studies of data analysis and efficient algorithms to analyze actual data related to real world in order to manage their overall complexity are collected.
Scope of the Workshop:
We will accept papers related to Data Science for collecting, analyzing, and understanding Big Data, Algorithms, and Complexity such as:
Data Analysis
Algorithms
Data collections
Methods of data analysis and their applications
Specific domain knowledge to acquire, collect, handle and analyze data in various fields such as finance, business management, transportation, tourism, logistics, etc...
Program Committee:
Anna Carbone, Politecnico di Torino, Italy
Aki-Hiro Sato, Kyoto University, Japan
Antoaneta Serguieva, University College London, UK
Meiko Jensen, Kiel University of Applied Sciences, Germany
Takashi Isogai, Bank of Japan, Japan
Wataru Souma, Nihon University, Japan
Takashi Irohara, Sophia University, Japan
Itoh Isato, Kyoto University Hospital, Japan
Hidefumi Sawai, National Institute of Information and Communications Technology, Japan