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15th International Conference on Web-Age Information Management (WAIM)

作者： Zhang, Yinglong Li, Cuiping Xie, Chengwang Chen, Hong Renmin Univ China Key Lab Data Engn & Knowledge Engn MOE Beijing Peoples R China Renmin Univ China Dept Comp Sci Beijing Peoples R China East China Jiaotong Univ Sch Software Nanchang Jiangxi Peoples R China

ISBN: (纸本)9783319080109;9783319080093

Link-based similarity measures play significant role in many graph based applications. Consequently, measuring nodes similarity in a graph is a fundamental problem of graph data mining. Personalized PageRank (PPR) and SimRank (SR) have emerged as the most popular and influential link-based similarity measures. In practice, PPR and SR scores are achieved by iterative computing. With increasing of iterations, the computations incur heavy overhead. The ideal solution is that computing similarity within the minimum number of iterations is sufficient to guarantee a desired accuracy. However, the existing upper bounds are too coarse to be useful in general. Therefore, we focus on designing accurate and tight upper bounds of PPR and SR in the paper. Our upper bounds are designed based on following human intuition: "the smaller the difference between the two consecutive iteration step results is, the smaller the difference between iterative similarity scores and theoretical ones is". Furthermore, we demonstrate effectiveness of our novel upper bounds in the scenario of top-k similar nodes query, where our upper bounds accelerate speed of the query. At last, we run a comprehensive set of experiments on real data sets to verify effectiveness and efficiency of our upper bounds

关键词： Personalized PageRank SimRank Upper bound Difference

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Global Top-k aggregate queries based on x-tuple in uncertain database

Global Top-k aggregate queries based on x-tuple in uncertain...

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24th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2010

作者： Liu, Dexi Wan, Changxuan Xiong, Naixue Park, Jong Hyuk Yeoe, Sang-Soo School of Information Technology Jiangxi Key Laboratory of Data and Knowledge Engineering Jiangxi University of Finance and Economics Nanchang China Dept. of Computer Science Georgia State University Atlanta GA United States Dept. of Computer Science and Engineering Seoul National University of Technology Seoul Korea Republic of Division of Computer Engineering Mokwon University Daejeon Korea Republic of

ISBN: (纸本)9780769540191

A Top-k aggregate query, which is a powerful technique when dealing with large quantity of data, ranks groups of tuples by their aggregate values and returns k groups with the highest aggregate values. However, compared to Top-k in traditional databases, queries over uncertain database are more complicated because of the existence of exponential possible worlds. As a powerful semantic of Top-k in uncertain database, Global Top-k return k highest-ranked tuples according to their probabilities of being in the Top-k answers in possible worlds. We propose a x-tuple based method to process Global Top-k aggregate queries in uncertain database. Our method has two levels, group state generation and G-x-Top-k query processing. In the former level, group states, which satisfy the properties of x-tuple, are generated one after the other according to their aggregate values, while in the latter level, dynamic programming based Global x-tuple Top-k query processing are employed to return the answers. Comprehensive experiments on different data sets demonstrate the effectiveness of the proposed solutions. © 2010 IEEE.

关键词： Dynamic programming

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Mining opinion word from customer review

International Journal of Database Theory and Application

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International Journal of database Theory and Application 2016年第2期9卷 129-136页

作者： Tengjiao, Jiang Minjuan, Zhong Shumei, Liao Siwen, Luo School of Information Technology Jiangxi University of Finance and Economics Nanchang China Jiangxi Key Laboratory of Data and Knowledge Engineering Jiangxi University of Finance and Economics Nanchang China

Online customer review is considered as a significant informative resource which is useful for both potential customer and product manufacturers. As a result, it is one of the most challenging tasks to mine customer reviews automatically and to provide users with opinion summary. Product features and opinion word play the most important roles in the customers' opinions mining. In this paper, we dedicate our work to opinion word mining. We proposed an approach for opinion word identification based on the association rule mining algorithm. The method makes full use of co-occurrence syntactic characteristic between product features and opinion word. Firstly, the product feature is identified by two-stage filtering scheme, and secondly the opinion word is extracted through association rule mining. The final experiment results show that the proposed method could not only obtain the product features related to domain characteristics, but identify the opinion word effectively. Meanwhile, our approach possesses much higher precision and recall than Hu's work.

关键词： Association rules

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Rapid Resynchronization Method for Replication In-Memory databases Supporting Mobile Communication Applications

Rapid Resynchronization Method for Replication In-Memory Dat...

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Computer Science and Information engineering, CSIE, WRI World Congress on FLAGGED

作者： Guoqiong Liao Jing Li Jiangxi Key Laboratory of Data and Knowledge Engineering Jiangxi University of Finance and Economics Nanchang China School of Information Technology Jiangxi University of Finance and Economics Nanchang China

In this paper, a rapid resynchronization method using intent logs is suggested for replication in-memory databases supporting mobile communication applications. Both the identifiers of unsynchronized segments and the identifiers of the slaves who have missed the updates in the segments are recorded in the intent logs. When receiving a resynchronization request from a slave, the master will scan the intent logs to find the unsynchronized segments for the salve, and then send the segments gotten directly from its memory to the slave. The performance results shown the intent logs method can reduce resynchronization time than methods using transaction logs.

关键词： Mobile communication Master-slave Transaction databases Availability Mission critical systems knowledge engineering Application software Finance Resumes Computer crashes

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Efficient Computation of Reverse Skyline on data Stream

Efficient Computation of Reverse Skyline on Data Stream

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The Second International Joint Conference on Computational Science and Optimization(CSO 2009)(2009 国际计算科学与优化会议)

作者： Ling Zhu Cuiping Li Hong Chen School of Information Renmin University of China Key Lab of Data Engineering and Knowledge Engineering of MOE

Reverse Skyline Queries have been proved very useful in business location, environmental monitoring and some other applications. In this paper, we consider reverse skyline queries processing on data stream, which provides continuous, high-speed data elements. Specifically, we consider the latest objects in the sliding window. The challenge is that it is difficult to maintain a multidimensional index (for example, R-tree) in a dynamic dataset. Focusing on this challenge, we propose an algorithm with a DC-Tree as index and effective pruning methods to reduce the search space of query processing and the cost of index maintaining. Extensive experiments show that our algorithms are efficient and effective for on-line reverse skyline query.

关键词： Monitoring Query processing Costs data engineering knowledge engineering Multidimensional systems

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Link prediction in author collaboration network based on BP neural network 3

Link prediction in author collaboration network based on BP ...

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3rd International Conference on Mechanical, Electronic and Information Technology engineering, ICMITE 2017

作者： Chen, Chaoqun Deng, Sanhong Lu, Jing School of Information Management Nanjing University Nanjing210023 China Jiangsu Key Lab of Data Engineering and Knowledge Service Nanjing210023 China Jiangsu Institute of Geological Survey Nanjing210018 China

Recently, more and more authors have been encouraged for collaboration because it often produces good results. However, the author collaboration network contains experts in various research directions within various fields, and it is difficult for individual authors to decide which authors are best suited to their expertise. This paper uses the relationships among authors to predict new relationships that may arise, recommending each author with the collaborators they may be interested in. The data source comes from 4-year data in DBLP from 2001 to 2004. After data cleaning, the training set and test set are constructed and then used BP neural network to build model. At the same time, this article compares the performance with Logistic Regression, SVM and Random Forest. The experiment shows that the BP neural network can get better result, and it is feasible to predict links in the author collaboration network. © The Authors, published by EDP Sciences, 2017.

关键词： Forecasting

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Threshold and Deadline Effect in Crowdfunding 7

Threshold and Deadline Effect in Crowdfunding

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7th International Conference on Information Technology and Quantitative Management (ITQM) - Information Technology and Quantitative Management Based on Artificial Intelligence

作者： Song, Yan Tian, Xin Luo, Chunlin Chinese Acad Sci Res Ctr Fictitious Econ & Data Sci Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Econ & Management Beijing 100190 Peoples R China Chinese Acad Sci Key Lab Big Data Min & Knowledge Management Beijing 100190 Peoples R China Jiangxi Univ Finance & Econ Sch Informat Technol Nanchang 330013 Jiangxi Peoples R China

The deadline effect and threshold effect are common in product development and group buying. We consider these two effects also exist in crowdfunding, affecting the crowdfunding performance in the future. We conduct an empirical study using a dataset from *** to examine these two effects and their interactive relationship on the following crowdfunding performance. We find the threshold effect exists in crowdfunding and has a positive influence on the following contribution behaviour. The deadline effect also can stimulate the crowdfunding behaviour via limited fundraising time. Furthermore, we find the threshold effect and deadline effect are complements that increase the amount pledged. (C) 2020 The Authors. Published by Elsevier B.V.

关键词： crowdfunding performance threshold effect deadline effect interactive effect

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Analyzing Information Needs of Elderly People: A Survey in Chinese Rural Community

Analyzing Information Needs of Elderly People: A Survey in C...

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2014年管理与服务科学国际学术会议

作者： Chunfang Zou Ping Zhou School of business administration Jiangxi University of Finance and Economics School of Information Technology Jiangxi University of Finance and Economics Jiangxi Key Laboratory of Data and Knowledge Engineering Jiangxi University of Finance and Economics

关键词：

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Analyzing Information Needs of Elderly People: A Survey in Chinese Rural Community

Analyzing Information Needs of Elderly People: A Survey in C...

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The 8th International Conference on Management and Service Science（MASS 2014）

A survey about the information needs of elderly people could find out the information required to address the needs of the aged in a community. Analyzing data collected from 600 elderly people through field investigation with a questionnaire in a rural community in central China, the results show that the preferred information format of the majority of aged people is audio and/or visual information product, especially audio product. Most of the aged people stated that they were in need of healthy and medical non-educational audio information products. The survey maybe lead to improved and expanded information services for respondents who are short of such services, including Public broadcasting services, extending the audiovisual collection, loaning audiovisuals, religious faith audiovisuals and others providing needed information to them. In summary, this paper assembles views on what the elderly people currently need to be helped by both practitioners and researchers in the elderly people services domain.

关键词： Information Needs,Elderly People,Chinese Rural Community

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Overview of the INEX 2011 data-centric track

Overview of the INEX 2011 data-centric track

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Lecture Notes in Computer Science

作者： Wang, Qiuyue Ramírez, Georgina Marx, Maarten Theobald, Martin Kamps, Jaap School of Information Renmin University of China China Key Lab. of Data Engineering and Knowledge Engineering MOE China Universitat Pompeu Fabra Spain University of Amsterdam Netherlands Max-Planck-Institut für Informatik Germany

ISBN: (纸本)9783642357336

This paper presents an overview of the INEX 2011 data-Centric Track. Having the ad hoc search task running its second year, we introduced a new task, faceted search task, whose goal is to provide the infrastructure to investigate and evaluate different techniques and strategies of recommending facet-values to aid the user to navigate through a large set of query results and quickly identify the results of interest. The same IMDB collection as last year was used for both tasks. A total of 9 active participants contributed a total of 60 topics for both tasks and submitted 35 ad hoc search runs and 13 faceted search runs. A total of 38 ad hoc search topics were assessed, which included 18 subtopics for 13 faceted search topics. We discuss the setup for both tasks and the results obtained by their participants. © Springer-Verlag 2012.

关键词： XML

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