2017 International Conference on Data and Software Engineering (ICoDSE)最新文献

Hybrid recommender system using random walk with restart for social tagging system 基于随机漫步和重启的混合推荐系统

2017 International Conference on Data and Software Engineering (ICoDSE) Pub Date : 2017-12-06 DOI: 10.1109/ICODSE.2017.8285875

Arif Wijonarko, Dade Nurjanah, D. S. Kusumo

{"title":"Hybrid recommender system using random walk with restart for social tagging system","authors":"Arif Wijonarko, Dade Nurjanah, D. S. Kusumo","doi":"10.1109/ICODSE.2017.8285875","DOIUrl":"https://doi.org/10.1109/ICODSE.2017.8285875","url":null,"abstract":"Social Tagging Systems (STS) are very popular web application such that millions of people join the systems and actively share their contents. These enormous number of users are flooding STS with contents and tags in an unrestrained way in that threatening the capability of the system for relevant content retrieval and information sharing. Recommender Systems (RS) is a known successful method for overcome information overload problem by filtering the relevant contents over the nonrelevant contents. Besides manage folksonomy information, STS also handle social network information of its users. Both information can be used by RS to generate a good recommendation for its users. This work proposes an enhanced method for an existing hybrid recommender system, by incorporating social network information into the input of the hybrid recommender. The recommendation generation process includes Random Walk with Restart (RWR) alongside Content-Based Filtering (CBF) and Collaborative Filtering (CF) methods. Some parameters were introduced in the system to control weight contribution of each method. A comprehensive experiment with a set of a real-world open data set in two areas, social bookmark (Delicious.com) and music sharing (Last.fm) to test the proposed hybrid recommender system. The outcomes exhibit that it can give improvement compared to an existing method in terms of accuracy. The proposed hybrid achieves 24.4% more than RWR on the Delicious dataset, and 53.85% more than CBF on Lastfm dataset.","PeriodicalId":366005,"journal":{"name":"2017 International Conference on Data and Software Engineering (ICoDSE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125978172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

A statistical and rule-based spelling and grammar checker for Indonesian text 印度尼西亚文本的统计和基于规则的拼写和语法检查器

2017 International Conference on Data and Software Engineering (ICoDSE) Pub Date : 2017-11-01 DOI: 10.1109/ICODSE.2017.8285846

Asanilta Fahda, A. Purwarianti

{"title":"A statistical and rule-based spelling and grammar checker for Indonesian text","authors":"Asanilta Fahda, A. Purwarianti","doi":"10.1109/ICODSE.2017.8285846","DOIUrl":"https://doi.org/10.1109/ICODSE.2017.8285846","url":null,"abstract":"Spelling and grammar checkers are widely-used tools which aim to help in detecting and correcting various writing errors. However, there are currently no proofreading systems capable of checking both spelling and grammar errors in Indonesian text. This paper proposes an Indonesian spelling and grammar checker prototype which uses a combination of rules and statistical methods. The rule matcher module currently uses 38 rules which detect, correct, and explain common errors in punctuation, word choice, and spelling. The spelling checker module examines every word using a dictionary trie to find misspellings and Damerau-Levenshtein distance neighbors as correction candidates. Morphological analysis is also added for certain word forms. A bigram/co-occurrence Hidden Markov Model is used for ranking and selecting the candidates. The grammar checker uses a trigram language model from tokens, POS tags, or phrase chunks for identifying sentences with incorrect structures. By experiment, the co-occurrence HMM with an emission probability weight coefficient of 0.95 is selected as the most suitable model for the spelling checker. As for the grammar checker, the phrase chunk model which normalizes by chunk length and uses a threshold score of −0.4 gave the best results. The document evaluation of this system showed an overall accuracy of 83.18%. This prototype is implemented as a web application.","PeriodicalId":366005,"journal":{"name":"2017 International Conference on Data and Software Engineering (ICoDSE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122864978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 14

Utility function based-mixed integer nonlinear programming (MINLP) problem model of information service pricing schemes 基于效用函数的信息服务定价方案混合整数非线性规划问题模型

2017 International Conference on Data and Software Engineering (ICoDSE) Pub Date : 2017-11-01 DOI: 10.1109/ICODSE.2017.8285892

Robinson Sitepu, F. Puspita, Shintya Apriliyani

{"title":"Utility function based-mixed integer nonlinear programming (MINLP) problem model of information service pricing schemes","authors":"Robinson Sitepu, F. Puspita, Shintya Apriliyani","doi":"10.1109/ICODSE.2017.8285892","DOIUrl":"https://doi.org/10.1109/ICODSE.2017.8285892","url":null,"abstract":"The development of the internet in this era of globalization has increased fast. The need for internet becomes unlimited. Utility functions as one of measurements in internet usage, were usually associated with a level of satisfaction that user get for the use of information services used specifically relating to maximize profits in achieving specific. There are three internet pricing scheme used, that is flat fee, usage based and two part tariff by applying pricing scheme Internet by using one of the utility function is Cobb-Douglass with monitoring cost and marginal cost. The internet pricing scheme will be solved by LINGO 13.0 in form of non-linear optimization problems to get optimal solution. internet pricing scheme by considering marginal and monitoring cost of Cobb Douglass utility function, the optimal solution is obtained using the either usage-based pricing scheme model or two-part tariff pricing scheme model for each services offered, if we compared with flat-fee pricing scheme. It is the best way for provider to offer network based on two part tariff scheme. The results show that by applying two-part tariff scheme, the providers can maximize its revenue either for homogeneous and heterogeneous consumers.","PeriodicalId":366005,"journal":{"name":"2017 International Conference on Data and Software Engineering (ICoDSE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114158214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

A generic tool for modeling and simulation of fire propagation using cellular automata 使用元胞自动机建模和模拟火灾传播的通用工具

2017 International Conference on Data and Software Engineering (ICoDSE) Pub Date : 2017-11-01 DOI: 10.1109/ICODSE.2017.8285870

Taufiqurrahman, Saiful Akbar

{"title":"A generic tool for modeling and simulation of fire propagation using cellular automata","authors":"Taufiqurrahman, Saiful Akbar","doi":"10.1109/ICODSE.2017.8285870","DOIUrl":"https://doi.org/10.1109/ICODSE.2017.8285870","url":null,"abstract":"In spite of their simplicity, Cellular Automata (CA) have a great potential for being used in modeling various natural phenomenon. CA receive widespread interest among researchers from the diverse field to learn and use them in their application domain. Researchers usually develop CA model and the platform for simulating the models for each specific problems domain. This cause inefficiency for them and also some researchers do not know how to code the simulation program. The researchers should focus to develop the model without necessarily being worried to develop the platform to simulate the model. In this research, we attempt to develop a tool to model and simulate CA that helps to develop a various CA-based model. As a starting point, the tool will be implemented to modeling and simulate fire propagation. In consequence, literature study was conducted on some related research of fire propagation model to get the generic aspect from that models. The generic aspect then implemented into software artifact as a generic tool. In the end, the tools will be tested to implement rules from related research. The test result shows that with the same construction, the tool can implement various rule and fire propagation model.","PeriodicalId":366005,"journal":{"name":"2017 International Conference on Data and Software Engineering (ICoDSE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116618405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Traffic speed prediction from GPS data of taxi trip using support vector regression 基于支持向量回归的出租车行程GPS数据交通速度预测

2017 International Conference on Data and Software Engineering (ICoDSE) Pub Date : 2017-11-01 DOI: 10.1109/ICODSE.2017.8285869

Dwina Satrinia, G. Saptawati

引用次数: 6

Content-based clustering and visualization of social media text messages 基于内容的社交媒体文本信息聚类和可视化

2017 International Conference on Data and Software Engineering (ICoDSE) Pub Date : 2017-11-01 DOI: 10.1109/ICODSE.2017.8285856

S. A. Barnard, S. M. Chung, Vincent A. Schmidt

引用次数: 3

Anomaly detection using random forest: A performance revisited 使用随机森林进行异常检测:重新考察性能

2017 International Conference on Data and Software Engineering (ICoDSE) Pub Date : 2017-11-01 DOI: 10.1109/ICODSE.2017.8285847

Rifkie Primartha, Bayu Adhi Tama

引用次数: 86

Spatio-temporal mining to identify potential traff congestion based on transportation mode 基于交通方式的潜在交通拥堵时空挖掘

2017 International Conference on Data and Software Engineering (ICoDSE) Pub Date : 2017-11-01 DOI: 10.1109/ICODSE.2017.8285857

Irrevaldy, G. Saptawati

{"title":"Spatio-temporal mining to identify potential traff congestion based on transportation mode","authors":"Irrevaldy, G. Saptawati","doi":"10.1109/ICODSE.2017.8285857","DOIUrl":"https://doi.org/10.1109/ICODSE.2017.8285857","url":null,"abstract":"The increasing development of a city, creates density potential which could lead to traffic congestion. In recent years, the use of smartphone devices and other gadgets that have GPS (Global Positioning System) features become very commonly used in everyday activities. Previous work has built an architecture which could infer transportation mode based on GPS data. In this paper, we propose development of the previous work to detect potential traffic congestion based on transportation mode and with help from city spatial data. The data mining architecture is divided into three phases. In the first phase, we form classification model which will be used to get transportation mode information from GPS data. In the second phase, we extract spatial data, divide area into grids and divide time into several interval group. In the last phase, we use first phase result as a dataset to run in DBSCAN (Density-based spatial clustering of applications with noise) clustering algorithm for each different time interval group to know which grid area have traffic congestion potential. From this architecture, we introduced new term, cluster overlay which identify potential traffic congestion level in certain areas.","PeriodicalId":366005,"journal":{"name":"2017 International Conference on Data and Software Engineering (ICoDSE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124232840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Identification process relationship of process model discovery based on workflow-net 基于工作流网络的过程模型发现过程关系识别

2017 International Conference on Data and Software Engineering (ICoDSE) Pub Date : 2017-11-01 DOI: 10.1109/ICODSE.2017.8285876

Ferdi Rahmadi, G. Saptawati

引用次数: 1

Evaluation of greedy perimeter stateless routing protocol on vehicular ad hoc network in palembang city 巨港市车辆自组网中贪婪周长无状态路由协议的评价

2017 International Conference on Data and Software Engineering (ICoDSE) Pub Date : 2017-11-01 DOI: 10.1109/ICODSE.2017.8285873

R. F. Malik, Muhammad Sulkhan Nurfatih, H. Ubaya, Rido Zulfahmi, E. Sodikin

引用次数: 6