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Discovering closed and maximal embedded patterns from large tree data

期刊: DATA & KNOWLEDGE ENGINEERING, 2021; 133 ()

Many current applications and systems produce large tree datasets and export, exchange, and represent data in tree-structured form. Extracting informa......

Discovering rare correlated periodic patterns in multiple sequences

期刊: DATA & KNOWLEDGE ENGINEERING, 2020; 126 ()

Periodic-Frequent Pattern Mining (PFPM) is an emerging problem, which consists of identifying frequent patterns that periodically occur over time in a......

Hierarchy construction and classification of heterogeneous information networks based on RSDAEf

期刊: DATA & KNOWLEDGE ENGINEERING, 2020; 127 ()

Heterogeneous information networks (HINs) composed of multiple types of nodes and links, play increasingly important roles in real life applications. ......

A multi-view similarity measure framework for trouble ticket mining

期刊: DATA & KNOWLEDGE ENGINEERING, 2020; 127 ()

Text similarity measures play a very important role in several text mining applications. Although there is an extensive literature on measuring the si......

An efficient integer coding index algorithm for multi-scale time information management

期刊: DATA & KNOWLEDGE ENGINEERING, 2019; 119 ()

The era of Big Data has given rise to a massive amount of data containing spatio-temporal information, such as video data, traffic data, and social me......

JIF:1.58

The optimal feasible knowledge transfer path in a knowledge creation driven team

期刊: DATA & KNOWLEDGE ENGINEERING, 2019; 119 ()

Knowledge transfer plays a significant role in knowledge-driven teams. In this study, we built a knowledge transfer measurement model based on the gra......

JIF:1.58

Monitoring best region in spatial data streams in road networks

期刊: DATA & KNOWLEDGE ENGINEERING, 2019; 120 ()

Given a set of spatial objects O, the search radius r and the submodular function f are specified by the user. The best region search (BRS) is to find......

JIF:1.58

A state based energy optimization framework for dynamic virtual machine placement

期刊: DATA & KNOWLEDGE ENGINEERING, 2019; 120 ()

The dynamic optimization of virtual machine (VM) placement is to dynamically adjust the placement of VMs on physical machines (PMs) to accomplish some......

JIF:1.58

Generate pairwise constraints from unlabeled data for semi-supervised clustering

期刊: DATA & KNOWLEDGE ENGINEERING, 2019; 123 ()

Pairwise constraint selection methods often rely on the label information of data to generate pairwise constraints. This paper proposes a new method o......

JIF:1.58

Social emotion classification based on noise-aware training

期刊: DATA & KNOWLEDGE ENGINEERING, 2019; 123 ()

Social emotion classification draws many natural language processing researchers' attention in recent years, since analyzing user-generated emotional ......

JIF:1.58

An efficient and scalable multi-dimensional indexing scheme for modular data centers

期刊: DATA & KNOWLEDGE ENGINEERING, 2019; 123 ()

An efficient distributed indexing scheme plays an important role in improving the performance of cloud storage systems. To achieve concurrent query se......

JIF:1.58

A most influential node group discovery method for influence maximization in social networks: A trust-based perspective

期刊: DATA & KNOWLEDGE ENGINEERING, 2019; 121 ()

Developing a computational method for discovering the most influential nodes in social networks is a significant challenge that reveals an approach fo......

JIF:1.58

Time-aware spatial keyword cover query

期刊: DATA & KNOWLEDGE ENGINEERING, 2019; 122 ()

The existing spatial keyword cover query only considers the relevance of the text and the position, and ignores the temporal information of the geospa......

JIF:1.58

An overlapping community detection algorithm in complex networks based on information theory

期刊: DATA & KNOWLEDGE ENGINEERING, 2018; 117 ()

In this paper, a new algorithm for overlapping community detection is proposed. First, we propose a node importance evaluation matrix to calculate the......

JIF:1.58

Uncertain data classification with additive kernel support vector machine

期刊: DATA & KNOWLEDGE ENGINEERING, 2018; 117 ()

In this work, a classification learning algorithm is designed within the framework of support vector machines through modeling uncertain data with add......

JIF:1.58

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