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HOME > JOURNALS BY SUBJECT > COMPUTER SCIENCE > AADA
Advances in Adaptive Data Analysis (AADA) 
Current Issue | 2011 | 2010 | 2009 | All Volumes (2009-2011)
About AADA: Aims & Scope
AADA is an interdisciplinary journal dedicated to report original research results on data analysis methodology developments and their applications, with a special emphasis on the adaptive approaches. The mission of the journal is to elevate data analysis above the routine data processing and make it a tool for scientific research and engineering applications.

Data are the direct record of a given phenomenon and hence the only connection between the reality and us; therefore, data analysis is the way to get any information from an observed phenomenon and the only way to find out the underlying driving mechanism. Consequently, data analysis is very different from data processing. Data analysis emphasizes detailed decomposition and examinations of the data to extract physical understanding, while data processing relies on established algorithms to provide mathematical parameters.

As research becomes increasingly sophisticated, the inadequacies of traditional data processing methods have become glaringly clear. In fact, for data from complicated scientific phenomena, the approach based on a priori basis and linear and stationary assumptions would never work well. To accommodate the needs of scientific data analysis, rather than mathematical data processing, we have to face the reality of nonstationarity and nonlinearity in the data. The only viable way is to break away from traditional limitations and establish a new paradigm in adaptive data analysis methods.

The emphasis of this journal will be:

  1. Reporting new advances in data analysis methods in general and adaptive approach in particular.
  2. Reporting new applications of adaptive data analysis methods for scientific and engineering problems.

Right now, new research results on data analysis methodologies, techniques and applications are scattered over a wide range of journals each specializing in to a different subject area. But we deem the underlying common tread of data analysis methodology more important at this stage of the scientific development. This new quarterly journal will pool most of the scattered papers under a unified cover to benefit research scientists as well as practical engineers in a broad range of areas covering from biomedical to physics; from pure theory to financial data; from environmental sciences to engineering applications.

The main feature of the journal is original research. But, at the invitation from the co-Editor-in-Chiefs, the journal will also publish survey and critical review of the state-of-the-art researches, book reviews, and occasional proceedings for special conferences.


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