Results 251 to 260 of about 80,641 (302)

Fuzzy data mining for time-series data

open access: yesApplied Soft Computing Journal, 2012
Time series analysis has always been an important and interesting research field due to its frequent appearance in different applications. In the past, many approaches based on regression, neural networks and other mathematical models were proposed to analyze the time series.
Chun-Hao Chen   +2 more
exaly   +3 more sources

A review on time series data mining

open access: yesEngineering Applications of Artificial Intelligence, 2011
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 chronologically. The nature of time series data includes: large in data size, high dimensionality and necessary to update continuously.
Tak-Chung Fu
exaly   +3 more sources

Mining Time Series Data: A Selective Survey

open access: yes, 2009
Time series prediction and control may involve the study of massive data archive and require some kind of data mining techniques. In order to make the comparison of time series meaningful, one important question is to decide what similarity means and what features have to be extracted from a time series. This question leads to the fundamental dichotomy:
CORDUAS, MARCELLA, Marcella Corduas
openaire   +3 more sources

Data mining in medical time series

Biomedizinische Technik/Biomedical Engineering, 2006
This article proposes a modular, computer-based methodology to describe and compare medical problems using data mining methods. The methodology focuses on a mathematical formulation of typical classification problems, systematic extraction of interpretable features from time series, and an evaluation adapted to problem-specific preferences and ...
Mikut, R.   +3 more
openaire   +3 more sources

A survey on time series data mining

2017 IEEE International Conference on Electro Information Technology (EIT), 2017
In this paper, an overview on existing data mining techniques for time series modeling and analysis will be provided. Classification of available literature on time series data mining shows that the main research orientations can be divided into three subfields: Dimensionality Reduction (Time Series Representation), Similarity Measures and Data Mining ...
Amin Fakhrazari, Hamid Vakilzadian
openaire   +1 more source

Mining Time-Series Data

2015
Data is being generated in an ever increasing rate by all kinds of human endeavors. A sizable fraction of this data appears in the form of time-series or can be converted to this form.
Yasser Mohammad, Toyoaki Nishida
openaire   +2 more sources

On Privacy in Time Series Data Mining

2008
Traditional research on preserving privacy in data mining focuses on time-invariant privacy issues. With the emergence of time series data mining, traditional snapshot-based privacy issues need to be extended to be multi-dimensional with the addition of time dimension.
Ye Zhu 0001   +2 more
openaire   +1 more source

Mining deviants in time series data streams

open access: yesProceedings. 16th International Conference on Scientific and Statistical Database Management, 2004., 2004
One of the central tasks in managing, monitoring and mining data streams is that of identifying outliers. There is a long history of study of various outliers in statistics and databases, and a recent focus on mining outliers in data streams.
S. Muthukrishnan 0001   +2 more
openaire   +3 more sources

Mining Time Series Data

2006
Much of the world’s supply of data is in the form of time series. In the last decade, there has been an explosion of interest in mining time series data. A number of new algorithms have been introduced to classify, cluster, segment, index, discover rules, and detect anomalies/novelties in time series. While these many different techniques used to solve
Chotirat Ann Ralanamahatana   +5 more
openaire   +1 more source

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