In this paper we measure the relationship between messages in the social media and the
stock market prices. First, we measure the correlation and association between the amount …

Time series data mining (TSDM) techniques permit exploring large amounts of time series
data in search of consistent patterns and/or interesting relationships between variables …

It is surprising that last two decades many works in time series data mining and clustering
were concerned with measures of similarity of time series but not with measures of …

The paper gives the new definition of non-statistical time series shape association measures
that can measure positive and negative shape associations between time series. The local …

The authors develop the theory of discrete differentiation and, on its basis, solve the problem
of detecting trends in records, using the idea of the connection between trends and …

Import of intelligent features to systems supporting human decisions in problems related with
analysis of time series data bases is a promising research field. Such systems should be …

In this paper, several aspects of perception based time series data mining based on the
methodology of computing with words and perceptions are discusses. First, we consider …

The Mexico-UK Submillimeter Camera for AsTronomy (MUSCAT) is a continuum camera in
the 1.1-mm band for the Large Millimeter Telescope (LMT), with 1458 lumped-element …

The paper is devoted to automated risk assessment for decision making in organizational
systems with credit risk as an example. The classical approach involves calculating the …

Different measures of similarity and associations between time series have been proposed
in the literature on time series data mining. The main drawback of the most of similarity …