Discovering multidimensional motifs in physiological signals for personalized healthcare

A Balasubramanian, J Wang… - IEEE journal of selected …, 2016 - ieeexplore.ieee.org
Personalized diagnosis and therapy requires monitoring patient activity using various body
sensors. Sensor data generated during personalized exercises or tasks may be too specific …

TIRPClo: Efficient and complete mining of time intervals-related patterns

O Harel, R Moskovitch - Data Mining and Knowledge Discovery, 2023 - Springer
Abstract Mining frequent Time Intervals-Related Patterns (TIRPs) from series of symbolic
time intervals offers a comprehensive framework for heterogeneous, multivariate temporal …

SMILE: a feature-based temporal abstraction framework for event-interval sequence classification

J Rebane, I Karlsson, L Bornemann… - Data mining and …, 2021 - Springer
In this paper, we study the problem of classification of sequences of temporal intervals. Our
main contribution is a novel framework, which we call SMILE, for extracting relevant features …

IBSM: Interval-based sequence matching

A Kotsifakos, P Papapetrou, V Athitsos - Proceedings of the 2013 SIAM …, 2013 - SIAM
Sequences of event intervals appear in several application domains including sign
language, sensor networks, medicine, human motion databases, and linguistics. Such …

Implementation and evaluation of a multivariate abstraction-based, interval-based dynamic time-warping method as a similarity measure for longitudinal medical …

M Lion, Y Shahar - Journal of Biomedical Informatics, 2021 - Elsevier
Objectives A common prerequisite for tasks such as classification, prediction, clustering and
retrieval of longitudinal medical records is a clinically meaningful similarity measure that …

Are we what we do? Exploring group behaviour through user-defined event-sequence similarity

K Vrotsou, A Ynnerman… - Information Visualization, 2014 - journals.sagepub.com
The study of human activity in space and time is an inherent part of human geography. In
order to perform such studies, data on the time use of individuals, in terms of sequence and …

A geometric approach for mining sequential patterns in interval-based data streams

M Hassani, Y Lu, J Wischnewsky… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
Almost all activities observed in nowadays applications are correlated with a timing
sequence. Users are mainly looking for interesting sequences out of such data. Sequential …

STIFE: a framework for feature-based classification of sequences of temporal intervals

L Bornemann, J Lecerf, P Papapetrou - … , DS 2016, Bari, Italy, October 19 …, 2016 - Springer
In this paper, we study the problem of classification of sequences of temporal intervals. Our
main contribution is the STIFE framework for extracting relevant features from interval …

On searching and indexing sequences of temporal intervals

O Kostakis, P Papapetrou - Data mining and knowledge discovery, 2017 - Springer
In several application domains, including sign language, sensor networks, and medicine,
events are not necessarily instantaneous but they may have a time duration. Such events …

INSTINCT: Inception-based Symbolic Time Intervals series classification

OD Harel, R Moskovitch - Information Sciences, 2023 - Elsevier
Abstract Symbolic Time Intervals (STIs) describe events having a non-zero time duration,
which occur in a wide range of application domains. In this paper, we target the challenge of …