Time series is an important class of temporal data objects and it can be easily obtained from
scientific and financial applications. A time series is a collection of observations made …

Information granules, as encountered in natural language, are implicit in nature. To make
them fully operational so they can be effectively used to analyze and design intelligent …

Time series data, due to their numerical and continuous nature, are difficult to process,
analyze, and mine. However, these tasks become easier when the data can be transformed …

Time-series clustering is the process of grou** time series with respect to their similarity or
characteristics. Previous approaches usually combine a specific distance measure for time …

A lot of research has resulted in many time series models with high precision forecasting
realized at the numerical level. However, in the real world, higher numerical precision may …

An important goal of knowledge discovery is the search for patterns in data that can help
explain the underlying process that generated the data. The patterns are required to be new …

Data segmentation is one of the primary tasks of time series mining. This task is often used
to generate interesting subsequences from a large time series sequence. Segmentation is …

One of the second generation of computer scientists, Chris Wallace completed his tertiary
education in 1959 with a Ph. D. in nuclear physics, on cosmic ray showers, under Dr Paul …

This paper is focused on reducing the number of elements in time series with minimum
information loss, with specific applications on time series segmentation. A modification of the …

The problem of statistical—or inductive—inference pervades a large number of human
activities and a large number of (human and non-human) actions requiring 'intelligence' …