4.5 Article

High Influencing Pattern Discovery over Time Series Data

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, Artificial Intelligence

Deep attributed network representation learning of complex coupling and interaction

Zhao Li et al.

Summary: This paper introduces a novel deep attributed network representation learning model framework (RolEANE) that effectively preserves complex network coupling and interaction information, outperforming the current state-of-the-art network representation learning methods.

KNOWLEDGE-BASED SYSTEMS (2021)

Article Computer Science, Artificial Intelligence

MCHT: A maximal clique and hash table-based maximal prevalent co-location pattern mining algorithm

Vanha Tran et al.

Summary: Co-location patterns are subsets of Boolean spatial features, and maximal co-location patterns are a compact representation of these patterns to help users absorb results and make meaningful inferences. A novel framework based on maximal cliques and hash tables is developed for mining maximal co-location patterns, which efficiently filters prevalent patterns through participation indexes. Experimental results show that the proposed algorithm can reduce computational time and memory consumption compared to existing algorithms.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

Article Computer Science, Artificial Intelligence

Mining Maximal Dynamic Spatial Colocation Patterns

Xin Hu et al.

Summary: The study introduces the concept of dynamic spatial colocation patterns to reflect dynamic relationships among spatial features; efficiency is improved by mining a small number of prevalent maximal dynamic spatial colocation patterns; the effectiveness and efficiency of the proposed method and pruning strategies are validated through extensive experiments.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2021)

Article Computer Science, Information Systems

An offline map matching algorithm based on shortest paths

Dongqing Zhang et al.

Summary: The paper proposes an offline map matching algorithm based on shortest paths to find the minimum total matching error path. The algorithm outperforms benchmark algorithms in terms of both matching accuracy and computational efficiency.

INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2021)

Article Automation & Control Systems

Deep Attributed Network Embedding by Preserving Structure and Attribute Information

Richang Hong et al.

Summary: Network embedding is crucial for learning vector representations of nodes in a network and plays a key role in various applications. Recent studies have utilized local and global network structure proximity in shallow models due to the sparsity of real-world networks. However, the complexity of network structure and the hidden connection between network structure and node attributes require a deep attributed network embedding framework to capture the nonlinear information effectively.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2021)

Article Computer Science, Information Systems

APS: Attribute-aware privacy-preserving scheme in location-based services

Weihao Li et al.

INFORMATION SCIENCES (2020)

Article Computer Science, Artificial Intelligence

Mining high influence co-location patterns from instances with attributes

Dianwu Fang et al.

EVOLUTIONARY INTELLIGENCE (2020)

Article Computer Science, Information Systems

A clique-based approach for co-location pattern mining

Xuguang Bao et al.

INFORMATION SCIENCES (2019)

Article Computer Science, Information Systems

Mining maximal sub-prevalent co-location patterns

Lizhen Wang et al.

WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS (2019)

Article Computer Science, Information Systems

Combining Apriori heuristic and bio-inspired algorithms for solving the frequent itemsets mining problem

Youcef Djenouri et al.

INFORMATION SCIENCES (2017)

Article Computer Science, Information Systems

Identifying and Analyzing the Prevalent Regions of a Co-Location Pattern Using Polygons Clustering Approach

Wenhao Yu

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2017)

Article Computer Science, Artificial Intelligence

A fast space-saving algorithm for maximal co-location pattern mining

Xiaojing Yao et al.

EXPERT SYSTEMS WITH APPLICATIONS (2016)

Article Computer Science, Artificial Intelligence

Spatial co-location pattern mining for location-based services in road networks

Wenhao Yu

EXPERT SYSTEMS WITH APPLICATIONS (2016)

Article Computer Science, Artificial Intelligence

Coupled Attribute Similarity Learning on Categorical Data

Can Wang et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2015)

Article Computer Science, Information Systems

Spatiotemporal Data Mining: A Computational Perspective

Shashi Shekhar et al.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2015)

Article Computer Science, Artificial Intelligence

Mining Statistically Significant Co-location and Segregation Patterns

Sajib Barua et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2014)

Article Computer Science, Artificial Intelligence

A framework for mining sequential patterns from spatio-temporal event data sets

Yan Huang et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2008)

Article Computer Science, Artificial Intelligence

On the relationships between clustering and spatial co-location pattern mining

Yan Huang et al.

INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS (2008)

Article Multidisciplinary Sciences

The scaling laws of human travel

D Brockmann et al.

NATURE (2006)

Article Computer Science, Artificial Intelligence

Discovering colocation patterns from spatial data sets: A general approach

Y Huang et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2004)

Article Multidisciplinary Sciences

Forecast and control of epidemics in a globalized world

L Hufnagel et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2004)