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  1. No Access

    Chapter and Conference Paper

    Knowledge-Based Recommendation with Hierarchical Collaborative Embedding

    Data sparsity is a common issue in recommendation systems, particularly collaborative filtering. In real recommendation scenarios, user preferences are often quantitatively sparse because of the application na...

    Zili Zhou, Shaowu Liu, Guandong Xu, **ng **e in Advances in Knowledge Discovery and Data M… (2018)

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    Chapter and Conference Paper

    A Context-Aware Evaluation Method of Driving Behavior

    As Uber-like chauffeured car services become more and more popular, many drivers have joined the market without special training. To ensure the safety and efficiency of transportation services, it is an import...

    Yikai Zhai, Tianyu Wo, Xuelian Lin in Advances in Knowledge Discovery and Data M… (2018)

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    Chapter and Conference Paper

    A Refined MISD Algorithm Based on Gaussian Process Regression

    Time series data is a common data type in real life, and modelling of time series data along with its underlying temporal dynamics is always a challenging job. Temporal point process is an outstanding method t...

    Feng Zhou, Zhidong Li, Xuhui Fan, Yang Wang in Advances in Knowledge Discovery and Data M… (2018)

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    Chapter and Conference Paper

    Clustering of Multiple Density Peaks

    Density-based clustering, such as Density Peak Clustering (DPC) and DBSCAN, can find clusters with arbitrary shapes and have wide applications such as image processing, spatial data mining and text mining. In ...

    Borui Cai, Guangyan Huang, Yong **ang in Advances in Knowledge Discovery and Data M… (2018)

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    Chapter and Conference Paper

    Vulnerability Assessment of Metro Systems Based on Dynamic Network Structure

    Invulnerable metro systems are essential for the safety and efficiency of urban transportation services. Therefore, it is of significant interest to systematically assess the vulnerability of metro systems. To...

    Jun Pu, Chuanren Liu, Jianghua Zhao, Ke Han in Advances in Knowledge Discovery and Data M… (2018)

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    Chapter and Conference Paper

    A Local Online Learning Approach for Non-linear Data

    The efficiency and scalability of online learning methods make them a popular choice for solving the learning problems with big data and limited memory. Most of the existing online learning approaches are base...

    **nxing Yang, Jun Zhou, Peilin Zhao in Advances in Knowledge Discovery and Data M… (2018)

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    Chapter and Conference Paper

    Social Stream Classification with Emerging New Labels

    As an important research topic with well-recognized practical values, classification of social streams has been identified with increasing popularity with social data, such as the tweet stream generated by Twi...

    **n Mu, Feida Zhu, Yue Liu, Ee-Peng Lim in Advances in Knowledge Discovery and Data M… (2018)

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    Chapter and Conference Paper

    Heterogeneous Domain Adaptation Based on Class Decomposition Schemes

    This paper introduces a novel classification algorithm for heterogeneous domain adaptation. The algorithm projects both the target and source data into a common feature space of the class decomposition scheme ...

    Firat Ismailoglu, Evgueni Smirnov in Advances in Knowledge Discovery and Data M… (2018)

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    Chapter and Conference Paper

    Social Spammer Detection: A Multi-Relational Embedding Approach

    Since the relation is the main data shape of social networks, social spammer detection desperately needs a relation-dependent but content-independent framework. Some recent detection method transforms the soci...

    Jun Yin, Zili Zhou, Shaowu Liu, Zhiang Wu in Advances in Knowledge Discovery and Data M… (2018)

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    Chapter and Conference Paper

    A CRF-Based Stacking Model with Meta-features for Named Entity Recognition

    Named Entity Recognition (NER) is a challenging task in Natural Language Processing. Recently, machine learning based methods are widely used for the NER task and outperform traditional handcrafted rule based ...

    Shifeng Liu, Yifang Sun, Wei Wang in Advances in Knowledge Discovery and Data M… (2018)

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    Chapter and Conference Paper

    Data Mining with Algorithmic Transparency

    In this paper, we investigate whether decision trees can be used to interpret a black-box classifier without knowing the learning algorithm and the training data. Decision trees are known for their transparenc...

    Yan Zhou, Yasmeen Alufaisan in Advances in Knowledge Discovery and Data M… (2018)

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    Book and Conference Proceedings

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    Chapter and Conference Paper

    Review of Heterogeneous Wireless Fusion in Mobile 5G Networks: Benefits and Challenges

    The 5th generation wireless network has become popular in recent days, the system could provide higher transmission speed, lower latency, enhanced spectrum efficiency and energy efficiency. However, the improveme...

    Yuan Gao, Ao Hong, Quan Zhou, Zhaoyang Li in Collaborate Computing: Networking, Applica… (2017)

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    Chapter and Conference Paper

    Abnormal Group User Detection in Recommender Systems Using Multi-dimension Time Series

    Collaborative filtering based recommender systems are capable of generating personalized recommendations, which are tools to alleviate information overload problem. However, due to the open nature of recommend...

    Wei Zhou, Junhao Wen, Qingyu **ong, Jun Zeng in Collaborate Computing: Networking, Applica… (2017)

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    Chapter and Conference Paper

    3-D Design Review System in Collaborative Design of Process Plant

    Design review is important in collaborative design of process plants. To satisfy the actual work demands of design review, a 3-d design review system is developed and the key technologies such as information o...

    Jian Zhou, Linfeng Liu, Yunyun Wang, Fu **ao in Collaborate Computing: Networking, Applica… (2017)

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    Chapter and Conference Paper

    A Novel Social Search Model Based on Clustering Friends in LBSNs

    With the development of online social networks (OSNs), OSNs have become an indispensable part in people’s life. People tend to search information through OSNs rather than traditional search engines. Especially...

    Yang Sun, Jiuxin Cao, Tao Zhou, Shuai Xu in Collaborate Computing: Networking, Applica… (2017)

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    Chapter and Conference Paper

    Exploring External Knowledge Base for Personalized Search in Collaborative Tagging Systems

    Alongside the enormous volume of user-generated content posted to World Wide Web, there exists a thriving demand for search personalization services, especially those utilizing collaborative tagging data. To p...

    Dong Zhou, Xuan Wu, Wenyu Zhao in Collaborate Computing: Networking, Applica… (2017)

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    Chapter and Conference Paper

    Multi-View Matrix Completion for Clustering with Side Information

    In many clustering applications, real world data are often collected from multiple sources or with features from multiple channels. Thus, multi-view clustering has attracted much attention during the past few ...

    Peng Zhao, Yuan Jiang, Zhi-Hua Zhou in Advances in Knowledge Discovery and Data Mining (2017)

  19. No Access

    Chapter and Conference Paper

    Edge Role Discovery via Higher-Order Structures

    Previous work in network analysis has focused on modeling the roles of nodes in graphs. In this paper, we introduce edge role discovery and propose a framework for learning and extracting edge roles from large...

    Nesreen K. Ahmed, Ryan A. Rossi in Advances in Knowledge Discovery and Data M… (2017)

  20. No Access

    Chapter and Conference Paper

    Analysis of Signaling Overhead and Performance Evaluation in Cellular Networks of WeChat Software

    The instant communication software such as WeChat, QQ and Fetion becomes popular with the rapid development of mobile terminals and wireless personal communication technology. To refresh the online or offline ...

    Yuan Gao, Hong Ao, Jian Chu, Zhou Bo in Collaborative Computing: Networking, Appli… (2016)

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