4.5 Article

Extracting Human Activity Areas from Large-Scale Spatial Data with Varying Densities

Related references

Note: Only part of the references are listed.
Article Geography, Physical

Novel model for predicting individuals' movements in dynamic regions of interest

Xiaoqi Shen et al.

Summary: This paper proposes a novel model for predicting individuals' movements in dynamic regions of interest, considering changes in activity areas and movement regularity. The proposed model outperforms existing models, especially when mobility patterns change greatly, according to the evaluation on real-world datasets.

GISCIENCE & REMOTE SENSING (2022)

Article Computer Science, Artificial Intelligence

CGFFCM: Cluster-weight and Group-local Feature-weight learning in Fuzzy C-Means clustering algorithm for color image segmentation

Amin Golzari Oskouei et al.

Summary: The FCM algorithm is a popular method for data clustering and image segmentation but it is sensitive to the initialization of primary clusters and has equal importance of image features. This paper proposes the CGFFCM method, which improves segmentation performance through automatic weighting and feature strategies, and outperforms competitors when evaluated using the Berkeley benchmark dataset.

APPLIED SOFT COMPUTING (2021)

Article Computer Science, Artificial Intelligence

Ambiguous D-means fusion clustering algorithm based on ambiguous set theory: Special application in clustering of CT scan images of COVID-19

Pritpal Singh et al.

Summary: COVID-19 is considered one of the most critical diseases of the 21st century, and early detection is crucial for prevention of transmission. Recent research shows that CT images of COVID-19 patients exhibit acute infections and lung abnormalities. To address the challenges in analyzing these images, a new early detection method using a novel image clustering algorithm called ADMFCA has been proposed.

KNOWLEDGE-BASED SYSTEMS (2021)

Article Computer Science, Artificial Intelligence

A Dynamic Convolutional Neural Network Based Shared-Bike Demand Forecasting Model

Shaojie Qiao et al.

Summary: This article proposes a new shared-bike demand forecasting model SDF based on dynamic convolutional neural networks, which optimizes the parameter update phase and weight sharing strategy to achieve efficient and accurate prediction of shared bike demand, outperforming classical machine learning models in prediction accuracy and efficiency.

ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (2021)

Article Engineering, Electrical & Electronic

Understanding Human Activity and Urban Mobility Patterns From Massive Cellphone Data: Platform Design and Applications

Zhenxing Yao et al.

Summary: Existing research on travel behavior detection based on cellphone data mainly focuses on algorithm exploration and evaluation, and existing platforms have limited functions. This paper proposes a real-time urban mobility monitoring and traffic management platform using cellular data, with a field case study conducted in Guiyang.

IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE (2021)

Article Engineering, Electrical & Electronic

A Two-Phase Clustering Approach for Urban Hotspot Detection With Spatiotemporal and Network Constraints

Feng Li et al.

Summary: This study proposes a two-phase clustering approach to detect urban hotspots using taxi trajectory data. The reliability of the clustering results is verified through a case study and enriched by combining with night-time light remote sensing data and POI data. The study also explores the spatiotemporal distribution, trip lengths, and directions of the detected hotspots.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2021)

Article Hospitality, Leisure, Sport & Tourism

Investigating the effects of a shared bike for tourism use on the tourist experience and its consequences

Ching-Fu Chen et al.

Summary: The study found that both the instrumental and affective values of using shared bikes have positive effects on tourists' emotional experience, which in turn impact satisfaction and destination loyalty. Perceived uniqueness has the most significant effect on destination loyalty.

CURRENT ISSUES IN TOURISM (2021)

Review Multidisciplinary Sciences

Array programming with NumPy

Charles R. Harris et al.

NATURE (2020)

Article Remote Sensing

Cluster and characteristic analysis of Shanghai metro stations based on metro card and land-use data

Ping Shen et al.

GEO-SPATIAL INFORMATION SCIENCE (2020)

Article Computer Science, Information Systems

A Novel Clustering Algorithm Based on DPC and PSO

Jianghui Cai et al.

IEEE ACCESS (2020)

Article Computer Science, Information Systems

Unsupervised K-Means Clustering Algorithm

Kristina P. Sinaga et al.

IEEE ACCESS (2020)

Article Economics

Learning Tableau: A data visualization tool

Steven Batt et al.

JOURNAL OF ECONOMIC EDUCATION (2020)

Article Geography, Physical

Building a model-based personalised recommendation approach for tourist attractions from geotagged social media data

Xiaoyu Sun et al.

INTERNATIONAL JOURNAL OF DIGITAL EARTH (2019)

Article Health Care Sciences & Services

A Novel Distributed Multitask Fuzzy Clustering Algorithm for Automatic MR Brain Image Segmentation

Yizhang Jiang et al.

JOURNAL OF MEDICAL SYSTEMS (2019)

Review Construction & Building Technology

Overlapping communities detection of social network based on hybrid C-means clustering algorithm

Yu Lei et al.

SUSTAINABLE CITIES AND SOCIETY (2019)

Article Computer Science, Information Systems

STLP-GSM: a method to predict future locations of individuals based on geotagged social media data

Pengfei Chen et al.

INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2019)

Article Computer Science, Information Systems

Identify and Delimitate Urban Hotspot Areas Using a Network-Based Spatiotemporal Field Clustering Method

Zelong Xia et al.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2019)

Article Green & Sustainable Science & Technology

Estimating Urban Shared-Bike Trips with Location-Based Social Networking Data

Fan Yang et al.

SUSTAINABILITY (2019)

Article Computer Science, Information Systems

Exploring the uncertainty of activity zone detection using digital footprints with multi-scaled DBSCAN

Xinyi Liu et al.

INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2019)

Article Computer Science, Artificial Intelligence

Tour recommendation and trip planning using location-based social media: a survey

Kwan Hui Lim et al.

KNOWLEDGE AND INFORMATION SYSTEMS (2019)

Proceedings Paper Computer Science, Artificial Intelligence

A survey of clustering algorithms for an industrial context

Abla Chaouni Benabdellah et al.

SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING IN DATA SCIENCES (ICDS2018) (2019)

Article Computer Science, Information Systems

Survey of State-of-the-Art Mixed Data Clustering Algorithms

Amir Ahmad et al.

IEEE ACCESS (2019)

Article Computer Science, Information Systems

GeoMF plus plus : Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization

Defu Lian et al.

ACM TRANSACTIONS ON INFORMATION SYSTEMS (2018)

Article Computer Science, Information Systems

Design and Application of an Attractiveness Index for Urban Hotspots Based on GPS Trajectory Data

Li Cai et al.

IEEE ACCESS (2018)

Article Computer Science, Information Systems

Mining online footprints to predict user's next location

Qunying Huang

INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2017)

Article Engineering, Electrical & Electronic

Big Data Driven Hidden Markov Model Based Individual Mobility Prediction at Points of Interest

Qiujian Lv et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2017)

Article Physics, Multidisciplinary

A network centrality measure framework for analyzing urban traffic flow: A case study of Wuhan, China

Shuangming Zhao et al.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2017)

Proceedings Paper Computer Science, Information Systems

SERM: A Recurrent Model for Next Location Prediction in Semantic Trajectories

Di Yao et al.

CIKM'17: PROCEEDINGS OF THE 2017 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT (2017)

Article Computer Science, Information Systems

Exploiting social media information toward a context-aware recommendation system

Michalis Korakakis et al.

SOCIAL NETWORK ANALYSIS AND MINING (2017)

Article Computer Science, Information Systems

Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore

Shan Jiang et al.

IEEE TRANSACTIONS ON BIG DATA (2017)

Article Green & Sustainable Science & Technology

Exploring Spatial-Temporal Patterns of Urban Human Mobility Hotspots

Xiping Yang et al.

SUSTAINABILITY (2016)

Article Computer Science, Interdisciplinary Applications

Understanding operation behaviors of taxicabs in cities by matrix factorization

Chaogui Kang et al.

COMPUTERS ENVIRONMENT AND URBAN SYSTEMS (2016)

Proceedings Paper Computer Science, Information Systems

A Comprehensive Validation Methodology for Trajectory Pattern Mining of GPS Data

Eugenio Cesario et al.

2016 IEEE 14TH INTL CONF ON DEPENDABLE, AUTONOMIC AND SECURE COMPUTING, 14TH INTL CONF ON PERVASIVE INTELLIGENCE AND COMPUTING, 2ND INTL CONF ON BIG DATA INTELLIGENCE AND COMPUTING AND CYBER SCIENCE AND TECHNOLOGY CONGRESS (DASC/PICOM/DATACOM/CYBERSC (2016)

Article Physics, Multidisciplinary

Uncovering urban human mobility from large scale taxi GPS data

Jinjun Tang et al.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2015)

Article Multidisciplinary Sciences

Clustering by fast search and find of density peaks

Alex Rodriguez et al.

SCIENCE (2014)

Article Ergonomics

Comparative analysis of the spatial analysis methods for hotspot identification

Hao Yu et al.

ACCIDENT ANALYSIS AND PREVENTION (2014)

Article Geography

Understanding intra-urban trip patterns from taxi trajectory data

Yu Liu et al.

JOURNAL OF GEOGRAPHICAL SYSTEMS (2012)

Article Environmental Sciences

Hotspot detection and clustering: ways and means

Andrew B. Lawson

ENVIRONMENTAL AND ECOLOGICAL STATISTICS (2010)

Article Criminology & Penology

The Utility of Hotspot Mapping for Predicting Spatial Patterns of Crime

Spencer Chainey et al.

SECURITY JOURNAL (2008)

Article Psychology, Multidisciplinary

Properties of the Hubert-Arabie adjusted rand index

D Steinley

PSYCHOLOGICAL METHODS (2004)

Article Computer Science, Information Systems

Using GPS to learn significant locations and predict movement across multiple users

Daniel Ashbrook et al.

PERSONAL AND UBIQUITOUS COMPUTING (2003)