4.5 Article

Who you are determines how you travel: Clustering human activity patterns with a Markov-chain-based mixture model

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Information Systems

Clustering Weekly Patterns of Human Mobility Through Mobile Phone Data

Etienne Thuillier et al.

IEEE TRANSACTIONS ON MOBILE COMPUTING (2018)

Article Computer Science, Information Systems

Detecting Anomalous Trajectories and Behavior Patterns Using Hierarchical Clustering from Taxi GPS Data

Yulong Wang et al.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2018)

Review Transportation

Applying mobile phone data to travel behaviour research: A literature review

Zhenzhen Wang et al.

TRAVEL BEHAVIOUR AND SOCIETY (2018)

Review Computer Science, Artificial Intelligence

A review of clustering techniques and developments

Amit Saxena et al.

NEUROCOMPUTING (2017)

Article Transportation Science & Technology

Potentials of using social media to infer the longitudinal travel behavior: A sequential model-based clustering method

Zhenhua Zhang et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2017)

Article Engineering, Civil

Identification of Representative Patterns of Time Use Activity Through Fuzzy C-Means Clustering

Mohammad Hesam Hafezi et al.

TRANSPORTATION RESEARCH RECORD (2017)

Article Multidisciplinary Sciences

Individual Movement Strategies Revealed through Novel Clustering of Emergent Movement Patterns

Denis Valle et al.

SCIENTIFIC REPORTS (2017)

Article Economics

Understanding commuting patterns using transit smart card data

Xiaolei Ma et al.

JOURNAL OF TRANSPORT GEOGRAPHY (2017)

Article Computer Science, Information Systems

Exploration of spatiotemporal and semantic clusters of Twitter data using unsupervised neural networks

Enrico Steiger et al.

INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2016)

Article Mathematics, Interdisciplinary Applications

Model-Based Clustering

Paul D. McNicholas

JOURNAL OF CLASSIFICATION (2016)

Article Computer Science, Interdisciplinary Applications

ClickClust: An R Package for Model-Based Clustering of Categorical Sequences

Volodymyr Melnykov

JOURNAL OF STATISTICAL SOFTWARE (2016)

Article Transportation Science & Technology

Inferring patterns in the multi-week activity sequences of public transport users

Gabriel Goulet Langlois et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2016)

Review Transportation Science & Technology

The promises of big data and small data for travel behavior (aka human mobility) analysis

Cynthia Chen et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2016)

Article Computer Science, Interdisciplinary Applications

Model-based clustering of high-dimensional data: A review

Charles Bouveyron et al.

COMPUTATIONAL STATISTICS & DATA ANALYSIS (2014)

Article Computer Science, Theory & Methods

Fuzzy clustering of human activity patterns

Pierpaolo D'Urso et al.

FUZZY SETS AND SYSTEMS (2013)

Article Transportation Science & Technology

Understanding individual mobility patterns from urban sensing data: A mobile phone trace example

Francesco Calabrese et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2013)

Review Statistics & Probability

Challenges in model-based clustering

Volodymyr Melnykov

WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS (2013)

Article Computer Science, Artificial Intelligence

Clustering daily patterns of human activities in the city

Shan Jiang et al.

DATA MINING AND KNOWLEDGE DISCOVERY (2012)

Article Computer Science, Artificial Intelligence

Mining Travel Patterns from Geotagged Photos

Yan-Tao Zheng et al.

ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (2012)

Article Multidisciplinary Sciences

Limits of Predictability in Human Mobility

Chaoming Song et al.

SCIENCE (2010)

Article Multidisciplinary Sciences

Understanding individual human mobility patterns

Marta C. Gonzalez et al.

NATURE (2008)