Self-supervised time series anomaly detection (TSAD) demonstrates remarkable performance improvement by extracting high-level data semantics through proxy tasks. Nonetheless, most existing self-supervised TSAD techniq...
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ISBN:
(数字)9798350368741
ISBN:
(纸本)9798350368758
Self-supervised time series anomaly detection (TSAD) demonstrates remarkable performance improvement by extracting high-level data semantics through proxy tasks. Nonetheless, most existing self-supervised TSAD techniques rely on manual- or neural-based transformations when designing proxy tasks, overlooking the intrinsic temporal patterns of time series. This paper proposes a local temporal pattern learning-based time series anomaly detection (LTPAD). LTPAD first generates sub-sequences. Pairwise sub-sequences naturally manifest proximity relationships along the time axis, and such correlations can be used to construct supervision and train neural networks to facilitate the learning of temporal patterns. Time intervals between two sub-sequences serve as labels for sub-sequence pairs. By classifying these labeled data pairs, our model captures the local temporal patterns of time series, thereby modeling the temporal pattern-aware "normality". Abnormal scores of testing data are acquired by evaluating their conformity to these learned patterns shared in training data. Extensive experiments show that LTPAD significantly outperforms state-of-the-art competitors.
The proceedings contain 75 papers. The topics discussed include: dynamic artificial immune system and its application to file transfer scheduling optimization;feature selection method based on across centroid for text...
ISBN:
(纸本)9781479956043
The proceedings contain 75 papers. The topics discussed include: dynamic artificial immune system and its application to file transfer scheduling optimization;feature selection method based on across centroid for text categorization;an efficient structure for LKH key tree on secure multicast communications;collaborative filtering recommendation algorithm based on item attributes;hierarchical speech recognition system using MFCC feature extraction and dynamic spiking RSOM;converting PCAPs into Weka mineable data;microcredit risk assessment using crowdsourcing and social networks;effective domain modeling for mobile business AHMS (adaptive human management systems) requirements;a machine learning technique for predicting the productivity of practitioners from individually developed software projects;can text mining technique be used as an alternative tool for qualitative research in education?;and ensuring the integrity and non-repudiation of remitting e-invoices in conventional channels with commercially available NFC devices.
The proceedings contain 127 papers. The topics discussed include: a computational model of imitation and autonomous behavior;does talking to a robot in a high-pitched voice create a good impression of the robot?;the e...
ISBN:
(纸本)9780769547619
The proceedings contain 127 papers. The topics discussed include: a computational model of imitation and autonomous behavior;does talking to a robot in a high-pitched voice create a good impression of the robot?;the efficiency of interactive differential evolution in creation of sound contents: in comparison with interactive genetic algorithm;admission control strategy of serving peers in P2P VoD systems;understanding Botnet: from mathematical modelling to integrated detection and mitigation framework;a novel online event analysis framework for micro-blog based on incremental topic modeling;does it matter what they said? a text mining analysis of the state of the union addresses of USA presidents;enhance the multi-level fuzzy association rules based on cumulative probability distribution approach;and shared-cache simulation for multi-core system with LRU2-MRU collaborative cache replacement algorithm.
The proceedings contain 41 papers. The topics discussed include: Bayesian network inference with qualitative expert knowledge for decision support systems;semantic query validation in guided-based systems: assuring th...
ISBN:
(纸本)9780769540887
The proceedings contain 41 papers. The topics discussed include: Bayesian network inference with qualitative expert knowledge for decision support systems;semantic query validation in guided-based systems: assuring the construction of queries that make sense;user and item pattern matching in multi-criteria recommender systems;modeling of device collaboration process based on Petri net;CP-nets based methodology for integrating functional verification and performance analysis of network protocol;a novel security approach for critical information systems: preventing flooding in the non-authenticated client area using a new service from local network service providers;achieving flow-level controllability in network intrusion detection system;explaining classification by finding response-related subgroups in data;real-time implementation of synthetic aperture sonar imaging on high performance clusters;and recovering depth from a single image using dark channel prior.
The proceedings contain 71 papers. The topics discussed include: stock market movement prediction using LDA-online learning model;benefits and challenges in the use of big data and AI;human body model using multiple d...
ISBN:
(纸本)9781538658895
The proceedings contain 71 papers. The topics discussed include: stock market movement prediction using LDA-online learning model;benefits and challenges in the use of big data and AI;human body model using multiple depth camera for gait analysis;multi-label class-imbalanced action recognition in hockey videos via 3D convolutional neural networks;development and reconstitution of software quality measurement and evaluation standards;Hadoop based demography big data management system;recommendation statements identification in clinical practice guidelines using heuristic patterns;estimation improvement of objective scores of answer statements with consideration of semantic similarity;social media comment management using SMOTE and random forest algorithms;an improved partitioning heuristic for solving TSP: an empirical study;interactive distance media learning collaborative based on virtual reality with solar system subject;global minimal diagnosis algorithm for repair incoherent mappings in ontology alignment;and an improvement on ArUco marker for pose tracking using Kalman filter.
The proceedings contain 71 papers. The topics discussed include: soft computing algorithms applied to the segmentation of nerve cell images;pattern recognition based on time-frequency distributions of radar micro-Dopp...
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ISBN:
(纸本)0769522947
The proceedings contain 71 papers. The topics discussed include: soft computing algorithms applied to the segmentation of nerve cell images;pattern recognition based on time-frequency distributions of radar micro-Doppler dynamics;a quantitative software quality evaluation model for the artifacts of component based development;a new approach to software requirements elicitation;using data mining technology to design an intelligent CIM system for IC manufacturing;data mining for imprecise temporal associations;analysis of breast cancer using data mining and statistical techniques;analyzing the conditions of coupling existence based on program slicing and some abstract information-flow;a study of model layers and reflection;a general scalable implementation of fast matrix multiplication algorithms on distributed memory computers;error prediction for multi-classification;an integer support vector machine;and layered neural networks computations.
The proceedings contain 111 papers. The topics discussed include: a self-organizing algorithm for community structure analysis in complex networks;an efficient uniform integrated advection algorithm for finite time Ly...
ISBN:
(纸本)9781509022397
The proceedings contain 111 papers. The topics discussed include: a self-organizing algorithm for community structure analysis in complex networks;an efficient uniform integrated advection algorithm for finite time Lyapunov exponent field computation on GPU and MIC;an improved model for PM2.5 inference based on support vector machine;ultra high frequency polynomial and cosine artificial higher order neural networks;document representation based on semantic smooth topic model;the optimization of beer recipe based on an improved ant colony optimization;team negotiation based on solidarity behavior: a concession strategy in the team;a hybrid method for bilingual text sentiment classification based on deep learning;facial expression classification using support vector machine based on bidirectional local binary pattern histogram feature descriptor;an empirical study on recovering requirement-to-code links;optimal placement of charging stations for electric taxis in urban area with profit maximization;traffic sign detection based on cascaded convolutional neural networks;and sample reconstruction and secondary feature selection in noisy speech emotion recognition.
The proceedings contain 55 papers. The topics discussed include: human resource analysis based on used libraries in eclipse projects on GitHub;modified convolutional network for the identification of COVID-19 with a m...
ISBN:
(纸本)9781665404037
The proceedings contain 55 papers. The topics discussed include: human resource analysis based on used libraries in eclipse projects on GitHub;modified convolutional network for the identification of COVID-19 with a mobile system;which dependency was updated? exploring who changes dependencies in npm packages;developing event routing service to support context-aware service integration;interactive chatbots for software engineering: a case study of code reviewer recommendation;effectiveness of explaining a program to others in finding its bugs;study of microservice execution framework using spoken dialogue agents;association metrics between two continuous variables for software project data;structure-preserving deep autoencoder-based dimensionality reduction for data visualization;Arabic sign language recognition: towards a dual way communication system between deaf and non-deaf people;and an investigation on multiscale normalized deep scattering spectrum with deep residual network for acoustic scene classification.
This book presents the latest research findings, as well as innovative theoretical and practical research results, methods and development techniques related to P2P, grid, cloud and Internet computing. It also reveals...
ISBN:
(纸本)9783030026066
This book presents the latest research findings, as well as innovative theoretical and practical research results, methods and development techniques related to P2P, grid, cloud and Internet computing. It also reveals the synergies among such large scale computing paradigms. P2P, Grid, Cloud and Internet computing technologies have rapidly become established as breakthrough paradigms for solving complex problems by enabling aggregation and sharing of an increasing variety of distributed computational resources on a large scale. Grid computing originated as a paradigm for high-performance computing, offering an alternative to expensive supercomputers through different forms of large-scale distributedcomputing. P2P computing emerged as a new paradigm following on from client-server and web-based computing and has proved useful in the development of social networking, B2B (Business to Business), B2C (Business to Consumer), B2G (Business to Government), and B2E (Business to Employee). Cloud computing has been described as a computing paradigm where the boundaries of computing are determined by economic rationale rather than technical limits. Cloud computing has fast become the computing paradigm with applicability and adoption in all domains and providing utility computing at large scale. Lastly, Internet computing is the basis of any large-scale distributedcomputing paradigm; it has very quickly developed into a vast and flourishing field with enormous impact on todays information societies and serving as a universal platform comprising a large variety of computing forms such as grid, P2P, cloud and mobile computing.
Natural products are substances produced by organisms in nature and often possess biological activity and structural diversity. Drug development based on natural products has been common for many years. However, the i...
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