k-shape: Efficient and accurate clustering of time series
J Paparrizos, L Gravano - Proceedings of the 2015 ACM SIGMOD …, 2015 - dl.acm.org
The proliferation and ubiquity of temporal data across many disciplines has generated
substantial interest in the analysis and mining of time series. Clustering is one of the most …
substantial interest in the analysis and mining of time series. Clustering is one of the most …
Fast and accurate time-series clustering
J Paparrizos, L Gravano - ACM Transactions on Database Systems …, 2017 - dl.acm.org
The proliferation and ubiquity of temporal data across many disciplines has generated
substantial interest in the analysis and mining of time series. Clustering is one of the most …
substantial interest in the analysis and mining of time series. Clustering is one of the most …
Debunking four long-standing misconceptions of time-series distance measures
Distance measures are core building blocks in time-series analysis and the subject of active
research for decades. Unfortunately, the most detailed experimental study in this area is …
research for decades. Unfortunately, the most detailed experimental study in this area is …
Piecewise two-dimensional normal cloud representation for time-series data mining
Many high-level dimensionality reduction approaches for mining time series have been
proposed, eg, SAX, PWCA, and Feature-based. Due to the rapid performance degradation …
proposed, eg, SAX, PWCA, and Feature-based. Due to the rapid performance degradation …
Durable top-k queries on temporal data
J Gao, PK Agarwal, J Yang - Proceedings of the VLDB Endowment, 2018 - dl.acm.org
Many datasets have a temporal dimension and contain a wealth of historical information.
When using such data to make decisions, we often want to examine not only the current …
When using such data to make decisions, we often want to examine not only the current …
Durable top-k instant-stamped temporal records with user-specified scoring functions
A way of finding interesting or exceptional records from instant-stamped temporal data is to
consider their" durability," or, intuitively speaking, how well they compare with other records …
consider their" durability," or, intuitively speaking, how well they compare with other records …
Diversified set monitoring over distributed data streams
Data monitoring over distributed streams is a fundamental problem, as represented by
modern applications, eg, sensor network and financial data monitoring. Such applications …
modern applications, eg, sensor network and financial data monitoring. Such applications …
Durable queries over non-synchronized temporal data
Y Xie, W Weng, J Li - World Wide Web, 2023 - Springer
Temporal data are ubiquitous nowadays and efficient management of temporal data is of
key importance. A temporal data typically describes the evolution of an object over time. One …
key importance. A temporal data typically describes the evolution of an object over time. One …
On efficient matching of spatiotemporal rules
X Yu, J Liu, Z Cui - Future Generation Computer Systems, 2023 - Elsevier
Spatiotemporal rules are ubiquitous nowadays. For example, a user may need to pay for a
phone call or the usage of the Internet services. The payment may depend on many factors …
phone call or the usage of the Internet services. The payment may depend on many factors …
Durable reverse top-k queries on time-varying preference
C Zhang, J Li, S Jiang - World Wide Web, 2024 - Springer
Recently, a query, called reverse top-k query, is proposed. The reverse top-k query takes an
object as input and retrieves the users whose top-k query results include the object while the …
object as input and retrieves the users whose top-k query results include the object while the …