A5087316830- Time Series Analysis and Forecasting
- Age of Information Optimization
- Anomaly Detection Techniques and Applications
- IoT Networks and Protocols
- Cognitive Functions and Memory
- Advanced Chemical Sensor Technologies
- Congenital Heart Disease Studies
- Sensory Analysis and Statistical Methods
- Advanced Text Analysis Techniques
- Music and Audio Processing
- Neural Networks and Applications
University of Crete
2020-2024
Foundation for Research and Technology Hellas
2020
Due to the importance of lower bounding distances and attractiveness symbolic representations, family aggregate approximations (SAX) has been used extensively for encoding time series data. However, typical SAX-based methods rely on two restrictive assumptions; Gaussian distribution equiprobable symbols. This paper proposes novel data-driven distinguished by their discretization steps. The first representation, oriented general data compaction indexing scenarios, is based combination kernel...
The ever-increasing volume and complexity of time series data, emerging in various application domains, necessitate efficient dimensionality reduction for facilitating data mining tasks. Symbolic representations, among them symbolic aggregate approximation (SAX), have proven very effective compacting the information content while exploiting wealth search algorithms used bioinformatics text communities. However, typical SAX-based techniques rely on a Gaussian assumption underlying statistics,...
The systematic collection of data has become an intrinsic process all aspects in modern life. From industrial to healthcare machines and wearable sensors, unprecedented amount is becoming available for mining information retrieval. In particular, anomaly detection plays a key role wide range applications, been studied extensively. However, many methods are unsuitable practical scenarios, where streaming large volume arrive nearly real-time at devices with limited resources. Dimensionality...
We study the average Age of Incorrect Information (AoII) in context remote monitoring a symmetric Markov source using variable-length stop-feedback (VLSF) coding. consider sources with small cardinality, where feedback is non-instantaneous, as transmitted information and may have comparable lengths. leverage recent results on non-asymptotic achievable channel coding rate to derive optimal sequences, i.e. times transmissions, terms either AoII or delay. Our showcase impact sequence SNR AoII,...
The Age of Incorrect Information (AoII) is a recently proposed metric for real-time remote monitoring systems. In particular, AoII measures the time information at monitor incorrect, weighted by magnitude this incorrectness, thereby combining notions freshness and distortion. This paper addresses definition an AoII-optimal transmission policy in discrete-time communication scheme with resource constraint hybrid automatic repeat request (HARQ) protocol. Considering $N$-ary symmetric Markov...