Advances in Intelligent Data Analysis and Its Applications, 2nd Edition
This Special Issue highlights the growing importance of intelligent data analysis and its profound applications in addressing the challenges of the big data era. As a key driver of innovation and progress across diverse sectors, intelligent data analysis requires robust research and implementation t...
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| Format: | Online |
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| Language: | English |
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MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Online Access: | ONIX_20250812T095121_9783725831371_49 |
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| collection | Directory of Open Access Books |
| description | This Special Issue highlights the growing importance of intelligent data analysis and its profound applications in addressing the challenges of the big data era. As a key driver of innovation and progress across diverse sectors, intelligent data analysis requires robust research and implementation to derive actionable insights from vast, complex datasets. By fostering advancements in various industries, this field plays a vital role in meeting the dynamic demands of modern data-centric environments. The aim of this Special Issue is to delve into cutting-edge developments in intelligent data analysis and their applications. Topics span a broad spectrum, including advanced data mining algorithms, machine learning integration, natural language processing innovations, granular computing frameworks, cognitive computing techniques, and hybrid approaches. This initiative seeks to provide insights into the academic growth of the field while enabling research and industry to adopt transformative solutions that shape its future trajectory. Scholarly and professional contributions have enriched intelligent data analysis, covering domains such as machine learning, data mining, social network analysis, machine vision, and hybrid computational paradigms. Building on the inaugural volume's success, this Special Issue consolidates recent developments with a focus on real-world applications, encompassing sectors like finance, healthcare, business intelligence, engineering, and environmental science. |
| format | Online |
| id | doab-20.500.12854ir-165100 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1651002025-08-12T08:01:38Z Advances in Intelligent Data Analysis and Its Applications, 2nd Edition Zhang, Chao Li, Wentao Zhang, Huiyan Zhan, Tao intelligent decision making conflict analysis conflict resolving three-way decisions uncertainty modeling overlapping event extraction trigger overlap argument overlap joint learning role pre-judgment path planning value table efficiency of path planning trajectory smoothing optimization complex vectors embedding joint cosine similarity knowledge graphs scoring function unbounded trajectory topic model Markov Decision Process visual analysis confidence calibration deep ensemble learning stochastic weight averaging 6DoF pose estimation depth-wise convolution coordinate attention atrous spatial pyramid pooling small-sample datasets data augmentation improved sparrow search algorithm novel risk warning GAN multi-view learning contrastive learning graph clustering graph learning representation learning object detection and tracking ground threshold calibrations onboard sensors Gradient Boosted Decision Trees neural network decision forest layer back-propagation large-scale group decision-making dual fine-tuning online review data prospect-regret theory clustering analysis multiple-robot navigation hybrid DCTE strategy reinforcement learning DQN effectiveness and efficiency neuromarketing banking firms strategy website interface big data digital marketing analytics DSS food delivery services travel time estimation spatial analysis data preprocessing Bayesian modeling online food delivery (OFD) delivery time estimation Bayesian inference generalized linear models personalization fitness recommendations dynamic Bayesian networks wearable data heart rate object detection small face detection YOLOv5 face dataset classroom scenes network structure design patent keyword analysis quantile cumulative distribution function regression patent document patent–keyword matrix spacecraft electrical system singular perturbation reduction stability analysis environmental social and governance (ESG) news sentiment analysis mobility sector corporate financial performance natural language processing industry-specific ESG strategies power system false data injection attack CNN autoencoder attention mechanism social network Leiden clustering hippopotamus optimization algorithm minority opinion handling non-cooperative behavior botnet domain generation algorithm transformer model depthwise separable convolution n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries This Special Issue highlights the growing importance of intelligent data analysis and its profound applications in addressing the challenges of the big data era. As a key driver of innovation and progress across diverse sectors, intelligent data analysis requires robust research and implementation to derive actionable insights from vast, complex datasets. By fostering advancements in various industries, this field plays a vital role in meeting the dynamic demands of modern data-centric environments. The aim of this Special Issue is to delve into cutting-edge developments in intelligent data analysis and their applications. Topics span a broad spectrum, including advanced data mining algorithms, machine learning integration, natural language processing innovations, granular computing frameworks, cognitive computing techniques, and hybrid approaches. This initiative seeks to provide insights into the academic growth of the field while enabling research and industry to adopt transformative solutions that shape its future trajectory. Scholarly and professional contributions have enriched intelligent data analysis, covering domains such as machine learning, data mining, social network analysis, machine vision, and hybrid computational paradigms. Building on the inaugural volume's success, this Special Issue consolidates recent developments with a focus on real-world applications, encompassing sectors like finance, healthcare, business intelligence, engineering, and environmental science. 2025-08-12T08:01:35Z 2025-08-12T08:01:35Z 2025 book ONIX_20250812T095121_9783725831371_49 9783725831371 9783725831388 https://directory.doabooks.org/handle/20.500.12854/165100 eng image/jpeg Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/10591 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-3138-8 10.3390/books978-3-7258-3138-8 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725831371 9783725831388 480 open access |
| spellingShingle | intelligent decision making conflict analysis conflict resolving three-way decisions uncertainty modeling overlapping event extraction trigger overlap argument overlap joint learning role pre-judgment path planning value table efficiency of path planning trajectory smoothing optimization complex vectors embedding joint cosine similarity knowledge graphs scoring function unbounded trajectory topic model Markov Decision Process visual analysis confidence calibration deep ensemble learning stochastic weight averaging 6DoF pose estimation depth-wise convolution coordinate attention atrous spatial pyramid pooling small-sample datasets data augmentation improved sparrow search algorithm novel risk warning GAN multi-view learning contrastive learning graph clustering graph learning representation learning object detection and tracking ground threshold calibrations onboard sensors Gradient Boosted Decision Trees neural network decision forest layer back-propagation large-scale group decision-making dual fine-tuning online review data prospect-regret theory clustering analysis multiple-robot navigation hybrid DCTE strategy reinforcement learning DQN effectiveness and efficiency neuromarketing banking firms strategy website interface big data digital marketing analytics DSS food delivery services travel time estimation spatial analysis data preprocessing Bayesian modeling online food delivery (OFD) delivery time estimation Bayesian inference generalized linear models personalization fitness recommendations dynamic Bayesian networks wearable data heart rate object detection small face detection YOLOv5 face dataset classroom scenes network structure design patent keyword analysis quantile cumulative distribution function regression patent document patent–keyword matrix spacecraft electrical system singular perturbation reduction stability analysis environmental social and governance (ESG) news sentiment analysis mobility sector corporate financial performance natural language processing industry-specific ESG strategies power system false data injection attack CNN autoencoder attention mechanism social network Leiden clustering hippopotamus optimization algorithm minority opinion handling non-cooperative behavior botnet domain generation algorithm transformer model depthwise separable convolution n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Advances in Intelligent Data Analysis and Its Applications, 2nd Edition |
| title | Advances in Intelligent Data Analysis and Its Applications, 2nd Edition |
| title_full | Advances in Intelligent Data Analysis and Its Applications, 2nd Edition |
| title_fullStr | Advances in Intelligent Data Analysis and Its Applications, 2nd Edition |
| title_full_unstemmed | Advances in Intelligent Data Analysis and Its Applications, 2nd Edition |
| title_short | Advances in Intelligent Data Analysis and Its Applications, 2nd Edition |
| title_sort | advances in intelligent data analysis and its applications 2nd edition |
| topic | intelligent decision making conflict analysis conflict resolving three-way decisions uncertainty modeling overlapping event extraction trigger overlap argument overlap joint learning role pre-judgment path planning value table efficiency of path planning trajectory smoothing optimization complex vectors embedding joint cosine similarity knowledge graphs scoring function unbounded trajectory topic model Markov Decision Process visual analysis confidence calibration deep ensemble learning stochastic weight averaging 6DoF pose estimation depth-wise convolution coordinate attention atrous spatial pyramid pooling small-sample datasets data augmentation improved sparrow search algorithm novel risk warning GAN multi-view learning contrastive learning graph clustering graph learning representation learning object detection and tracking ground threshold calibrations onboard sensors Gradient Boosted Decision Trees neural network decision forest layer back-propagation large-scale group decision-making dual fine-tuning online review data prospect-regret theory clustering analysis multiple-robot navigation hybrid DCTE strategy reinforcement learning DQN effectiveness and efficiency neuromarketing banking firms strategy website interface big data digital marketing analytics DSS food delivery services travel time estimation spatial analysis data preprocessing Bayesian modeling online food delivery (OFD) delivery time estimation Bayesian inference generalized linear models personalization fitness recommendations dynamic Bayesian networks wearable data heart rate object detection small face detection YOLOv5 face dataset classroom scenes network structure design patent keyword analysis quantile cumulative distribution function regression patent document patent–keyword matrix spacecraft electrical system singular perturbation reduction stability analysis environmental social and governance (ESG) news sentiment analysis mobility sector corporate financial performance natural language processing industry-specific ESG strategies power system false data injection attack CNN autoencoder attention mechanism social network Leiden clustering hippopotamus optimization algorithm minority opinion handling non-cooperative behavior botnet domain generation algorithm transformer model depthwise separable convolution n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| topic_facet | intelligent decision making conflict analysis conflict resolving three-way decisions uncertainty modeling overlapping event extraction trigger overlap argument overlap joint learning role pre-judgment path planning value table efficiency of path planning trajectory smoothing optimization complex vectors embedding joint cosine similarity knowledge graphs scoring function unbounded trajectory topic model Markov Decision Process visual analysis confidence calibration deep ensemble learning stochastic weight averaging 6DoF pose estimation depth-wise convolution coordinate attention atrous spatial pyramid pooling small-sample datasets data augmentation improved sparrow search algorithm novel risk warning GAN multi-view learning contrastive learning graph clustering graph learning representation learning object detection and tracking ground threshold calibrations onboard sensors Gradient Boosted Decision Trees neural network decision forest layer back-propagation large-scale group decision-making dual fine-tuning online review data prospect-regret theory clustering analysis multiple-robot navigation hybrid DCTE strategy reinforcement learning DQN effectiveness and efficiency neuromarketing banking firms strategy website interface big data digital marketing analytics DSS food delivery services travel time estimation spatial analysis data preprocessing Bayesian modeling online food delivery (OFD) delivery time estimation Bayesian inference generalized linear models personalization fitness recommendations dynamic Bayesian networks wearable data heart rate object detection small face detection YOLOv5 face dataset classroom scenes network structure design patent keyword analysis quantile cumulative distribution function regression patent document patent–keyword matrix spacecraft electrical system singular perturbation reduction stability analysis environmental social and governance (ESG) news sentiment analysis mobility sector corporate financial performance natural language processing industry-specific ESG strategies power system false data injection attack CNN autoencoder attention mechanism social network Leiden clustering hippopotamus optimization algorithm minority opinion handling non-cooperative behavior botnet domain generation algorithm transformer model depthwise separable convolution n/a thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| url | ONIX_20250812T095121_9783725831371_49 |