A review on time series data mining
T Fu - Engineering Applications of Artificial Intelligence, 2011 - Elsevier
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 …
scientific and financial applications. A time series is a collection of observations made …
Searching and mining trillions of time series subsequences under dynamic time warping
T Rakthanmanon, B Campana, A Mueen… - Proceedings of the 18th …, 2012 - dl.acm.org
Most time series data mining algorithms use similarity search as a core subroutine, and thus
the time taken for similarity search is the bottleneck for virtually all time series data mining …
the time taken for similarity search is the bottleneck for virtually all time series data mining …
[图书][B] Data clustering: theory, algorithms, and applications
The monograph Data Clustering: Theory, Algorithms, and Applications was published in
2007. Starting with the common ground and knowledge for data clustering, the monograph …
2007. Starting with the common ground and knowledge for data clustering, the monograph …
Review spam detection via temporal pattern discovery
Online reviews play a crucial role in today's electronic commerce. It is desirable for a
customer to read reviews of products or stores before making the decision of what or from …
customer to read reviews of products or stores before making the decision of what or from …
CID: an efficient complexity-invariant distance for time series
GE Batista, EJ Keogh, OM Tataw… - Data Mining and …, 2014 - Springer
The ubiquity of time series data across almost all human endeavors has produced a great
interest in time series data mining in the last decade. While dozens of classification …
interest in time series data mining in the last decade. While dozens of classification …
Robust and fast similarity search for moving object trajectories
An important consideration in similarity-based retrieval of moving object trajectories is the
definition of a distance function. The existing distance functions are usually sensitive to …
definition of a distance function. The existing distance functions are usually sensitive to …
On nonmetric similarity search problems in complex domains
The task of similarity search is widely used in various areas of computing, including
multimedia databases, data mining, bioinformatics, social networks, etc. In fact, retrieval of …
multimedia databases, data mining, bioinformatics, social networks, etc. In fact, retrieval of …
Addressing big data time series: Mining trillions of time series subsequences under dynamic time warping
T Rakthanmanon, B Campana, A Mueen… - ACM Transactions on …, 2013 - dl.acm.org
Most time series data mining algorithms use similarity search as a core subroutine, and thus
the time taken for similarity search is the bottleneck for virtually all time series data mining …
the time taken for similarity search is the bottleneck for virtually all time series data mining …
Towards parameter-free data mining
Most data mining algorithms require the setting of many input parameters. Two main
dangers of working with parameter-laden algorithms are the following. First, incorrect …
dangers of working with parameter-laden algorithms are the following. First, incorrect …
[图书][B] Temporal data mining
T Mitsa - 2010 - taylorfrancis.com
Temporal data mining deals with the harvesting of useful information from temporal data.
New initiatives in health care and business organizations have increased the importance of …
New initiatives in health care and business organizations have increased the importance of …