ASDACS 2015 - 2nd Applied Statistics and Data Analysis using Computer Science (ASDACS 2015)

Applied Statistics and Data Analysis are areas that include a vast number of techniques developed in Computer Science such as numerical analysis, database methodology, computer graphics, software engineering and human-computer interface.
A research, based on a certain theory regarding the topic under investigation, can propose some statements or hypothesis about the reasons of certain behaviour. The next step consists in testing some predictions with suitable experiments where several questions must be answered in order to obtain data. Depending on the outcomes of the experiment, the theory on which the hypotheses and predictions were based will be supported or not. By the nature of this line of scientific investigation the statistical methods assumes a major importance to determining the validity of empirical research. It is also important to quantify findings and present them with appropriate indicators of measurement. Several areas such as Medicine, Therapies, Biochemical Technology, and Economics relate Statistical Knowledge and Computer Science in order to analyse data obtained in the context of empirical research.
This workshop will provide researchers and practitioners a forum for exchanging ideas, experiences, problems understanding and visions for the future. The workshop will also provide a platform for researchers and developers to present results using the available tools for data analysis and to identify the problems in the theory and practice of empirical research recognizing future developments.
List of topics of interest
? Applied Statistics and Data Analysis
? Computer Science
? Data collection strategies and methods
? Selection and type of data
? Strategies to enhance quality of data
? Databases
? Applicability for theory development and practice
? Machine learning and automatic scientific discovery
? Data Visualization
? Decision based on evidence
? Empirical Research
? Statistical and Data Analysis Software