Sequential pattern mining--approaches and algorithms

CH Mooney, JF Roddick - ACM Computing Surveys (CSUR), 2013 - dl.acm.org
Sequences of events, items, or tokens occurring in an ordered metric space appear often in
data and the requirement to detect and analyze frequent subsequences is a common …

A taxonomy of sequential pattern mining algorithms

NR Mabroukeh, CI Ezeife - ACM Computing Surveys (CSUR), 2010 - dl.acm.org
Owing to important applications such as mining web page traversal sequences, many
algorithms have been introduced in the area of sequential pattern mining over the last …

[КНИГА][B] Temporal data mining

T Mitsa - 2010 - taylorfrancis.com
From basic data mining concepts to state-of-the-art advances, this book covers the theory of
the subject as well as its application in a variety of fields. It discusses the incorporation of …

Prediction model of user physical activity using data characteristics-based long short-term memory recurrent neural networks

JC Kim, K Chung - KSII Transactions on Internet and Information …, 2019 - koreascience.kr
Recently, mobile healthcare services have attracted significant attention because of the
emerging development and supply of diverse wearable devices. Smartwatches and health …

Mining software repositories for traceability links

H Kagdi, JI Maletic, B Sharif - 15th IEEE International …, 2007 - ieeexplore.ieee.org
An approach to recover/discover traceability links between software artifacts via the
examination of a software system's version history is presented. A heuristic-based approach …

A complete chronicle discovery approach: application to activity analysis

D Cram, B Mathern, A Mille - Expert Systems, 2012 - Wiley Online Library
Discovering temporal patterns hidden in a sequence of events has applications in numerous
areas like network failure analysis, customer behaviour analysis, web navigation pattern …

On mining frequent chronicles for machine failure prediction

C Sellami, C Miranda, A Samet, MA Bach Tobji… - Journal of Intelligent …, 2020 - Springer
Abstract In industry 4.0, machines generate a lot of data about several kinds of events that
occur in the production process. This huge quantity of information contains valuable patterns …

nTreeClus: A tree-based sequence encoder for clustering categorical series

H Jahanshahi, MG Baydogan - Neurocomputing, 2022 - Elsevier
The overwhelming presence of categorical/sequential data in diverse domains emphasizes
the importance of sequence mining. The challenging nature of sequences proves the need …

Mining based time-series slee** pattern analysis for life big-data

JC Kim, K Chung - Wireless Personal Communications, 2019 - Springer
Humans require rest in order to recover from physical and psychological fatigue caused by
daily routines, and either medication or sleep is needed to achieve this. If there is a lack of …

An effective clustering-based web page recommendation framework for e-commerce websites

H Singh, P Kaur - SN Computer Science, 2021 - Springer
The burgeoning e-commerce market has presented companies with the opportunity to grow
their businesses through online platforms. But, the researchers have concluded that just …