Akira Hara, Haruko Tanaka, T. Ichimura, T. Takahama
{"title":"Knowledge acquisition from many-attribute data by genetic programming with clustered terminal symbols","authors":"Akira Hara, Haruko Tanaka, T. Ichimura, T. Takahama","doi":"10.1504/IJKWI.2012.050286","DOIUrl":"https://doi.org/10.1504/IJKWI.2012.050286","url":null,"abstract":"Rule extraction from database by soft computing methods is important for knowledge acquisition. For example, knowledge from the web pages can be useful for information retrieval. When genetic programming (GP) is applied to rule extraction from a database, the attributes of data are often used for the terminal symbols. However, the real databases have a large number of attributes. Therefore, the size of the terminal set increases and the search space becomes vast. For improving the search performance, we propose new methods for dealing with the large-scale terminal set. In the methods, the terminal symbols are clustered based on the similarities of the attributes. In the beginning of search, by using the clusters for terminals instead of original attributes, the number of terminal symbols can be reduced. Therefore, the search space can be reduced. In the latter stage of search, by using the original attributes for terminal symbols, the local search is performed. We applied our proposed methods to two many-attribute datasets, the classification of molecules as a benchmark problem and the page rank learning for information retrieval. By comparison with the conventional GP, the proposed methods showed the faster evolutional speed and extracted more accurate rules.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126309453","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}
S. Matsumoto, T. Kashima, T. Matsui, Kazuaki Nakamura, T. Matsutomi
{"title":"Machi-POS - point of sales system for restaurant district","authors":"S. Matsumoto, T. Kashima, T. Matsui, Kazuaki Nakamura, T. Matsutomi","doi":"10.1504/IJKWI.2012.050284","DOIUrl":"https://doi.org/10.1504/IJKWI.2012.050284","url":null,"abstract":"The authors have participated in an activity for town development named 'Machi-POS' which is a research project to develop a service by totally supporting management of independent small restaurants within a certain area. As a part effort of Machi-POS, this study firstly develops an inventory management system cooperating with POS system and web-based automatic menu order feature. The system will contribute to reduce the opportunity loss, and will make the improvement of service quality and sales possible at lower labour cost. The system also provides POS services cheaply and efficiently by using common devices. This study makes it available for two or more restaurants in restaurant district, and gives additional function to support safety and security of foods. The multiple-user capability enables restaurants to share inventory information to each other. Therefore, reducing disposal loss will be further promoted because overstock or shortage is adjustable between restaurants with Machi-POS.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129917959","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}
{"title":"Assignment strategy selection for multi-car elevator group control using reinforcement learning","authors":"Taichi Uraji, Kenichi Takahashi","doi":"10.1504/IJKWI.2012.050285","DOIUrl":"https://doi.org/10.1504/IJKWI.2012.050285","url":null,"abstract":"This paper discusses the group control of elevators in the web monitoring system for improving efficiency and saving energy; an efficient control method for multi-car elevator using reinforcement learning is proposed. In the method, the control agent selects the best strategy among three strategies, namely distance-strategy, passenger-strategy, and zone-strategy, according to traffic flow. The control agent takes the number of total passengers and the distance from the departure floor to the destination floor of a call into account. Through experiments, the performance of the proposed method is shown; the average service time of the proposed method is compared with the average service time for the cases where the car assignment is made by each of the three strategies.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124435843","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}
{"title":"Review-based recommendation of attractive sentences in a novel for effective browsing","authors":"Soichi Murai, Taketoshi Ushiama","doi":"10.1504/IJKWI.2012.048164","DOIUrl":"https://doi.org/10.1504/IJKWI.2012.048164","url":null,"abstract":"Recently, the electronic book (e-book) market is growing rapidly and people have been able to choose e-books that they would like to read from a large amount of e-books. Therefore, techniques for finding efficiently one or more sufficient books that have something worth reading from vast numbers of e-books are demanded. In order to support a user to select books, many techniques for searching and recommending books have been proposed. However, the user would have to decide whether each book in candidates is worth reading. In this paper, we introduce a method for supporting a user to decide whether he/she read an e-book novel or not effectively. Our method recommends a user sentences that would attract and/or interest the user in an e-book novel. In our method, firstly, the attractiveness of each term in a novel is calculated based on reviews about the novel on the web. Then, the attractiveness of each sentence in the novel is calculated based on the attractiveness of the terms. This paper shows the experimental results of our method and discusses its effectiveness.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117253027","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}
Kazunori Nishino, Y. Iribe, Shinji Mizuno, K. Aoki, Y. Fukumura
{"title":"The development of a course recommendation system for e-learning students","authors":"Kazunori Nishino, Y. Iribe, Shinji Mizuno, K. Aoki, Y. Fukumura","doi":"10.1504/IJKWI.2012.048161","DOIUrl":"https://doi.org/10.1504/IJKWI.2012.048161","url":null,"abstract":"It is expected nowadays to develop an e-learning system which provides the learning environment suitable for each individual learner's learning style. In this study, the authors developed a method to recommend courses that are suitable for a student. A student's course adaptability for a particular course can be estimated based on the result gained from a questionnaire which is conducted prior to the beginning of the course by using the multiple regression models that has been derived from the past students' data. The validity of the developed method was confirmed to some extent by applying the method to assess the student's course adaptability for each ourse. Furthermore, this paper explains the functions of the e-learning course recommendation system that can be added by using the method.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126928441","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}
{"title":"Back-review support system for presentation rehearsal review","authors":"Ryo Okamoto, A. Kashihara","doi":"10.1504/IJKWI.2012.048163","DOIUrl":"https://doi.org/10.1504/IJKWI.2012.048163","url":null,"abstract":"The purpose of presentation rehearsal is to enable a presenter to be aware of insufficiency or incompleteness of his/her knowledge and refining the knowledge. In our study, we have proposed a framework of the presentation rehearsal support system to assist the peers to review the presentation in the rehearsal, and have developed a prototype system. During the presentation rehearsal, the system accumulates a lot of review comments from the peers to represent and organise them, which is used for the presenter to revise his/her presentation contents. In this paper, we propose the 'back-review' method for utilisation of the review comments for the revision of the presentation slides.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133038975","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}
{"title":"Chaotic oscillations in user-centric cognitive radio networks and their control","authors":"Yuki Nonaka, M. Hasegawa","doi":"10.1504/IJKWI.2012.048165","DOIUrl":"https://doi.org/10.1504/IJKWI.2012.048165","url":null,"abstract":"In the cognitive radio networks, spectrum resources are dynamically shared among the users for radio resource usage optimisation. However, depending on the distributed decision-making algorithms of the spectrum sharing procedure, undesirable chaotic switching may occur in the network. For chaotic non-linear systems, the chaos control theory has been proposed and applied to a wide variety of non-linear systems to stabilise such systems. In this paper, the delay feedback method for chaos control is applied to the chaotic phenomena in the cognitive radio networks. We show that our method can stabilise the chaotic oscillations in the user-centric cognitive radio networks. By comparisons with conventional parameter tuning methods, we confirm that our control approach is more efficient and faster to stabilise the cognitive radio systems.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116883588","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}
Xicen Zhang, Yuki Hayashi, T. Kojiri, Toyohide Watanabe
{"title":"Mistake detection method in Chinese-Japanese translation for Japanese learning support","authors":"Xicen Zhang, Yuki Hayashi, T. Kojiri, Toyohide Watanabe","doi":"10.1504/IJKWI.2012.048162","DOIUrl":"https://doi.org/10.1504/IJKWI.2012.048162","url":null,"abstract":"When Chinese students study Japanese, they sometimes find it difficult to understand the grammar of Japanese correctly because Chinese and Japanese use the same Chinese characters in a different way. Our research focuses on the students' exercises of translating Chinese sentences into Japanese, and enables students to acquire correct knowledge based on translated sentences. For this objective, our Chinese-Japanese translation process is divided into three steps: translation of words, ordering of words, and addition of functional expressions to complete the sentence. The system compares translated sentences written by students with the correct answer preset in the system and specifies the step in which students might be mistaken. Then, the system gives a result of evaluating the translated sentence with the explanation of incorrect translation. Since the usage of Japanese functional expressions is the most difficult for the Chinese students translating a sentence, our system supports students learning Japanese functional expressions by considering the factors of the mistaken functional expressions. According to the mistake information, the system selects another question from the question database, which has the same factor as the mistaken functional expression. Experimental results showed that our system was effective in detecting the mistakes, especially mistakes of words and Japanese functional expressions.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130608013","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}
{"title":"An evaluation of provenance-based near-duplicates detection","authors":"Y. S. Mudhasir, J. Deepika, S. Sendhilkumar","doi":"10.1504/IJKWI.2011.044122","DOIUrl":"https://doi.org/10.1504/IJKWI.2011.044122","url":null,"abstract":"Any existing search engine suffers the problem of redundancy in their search results. Detecting and eliminating such redundancy (near-duplicates) is one thrust area of research conducted widely by many search engine researchers. Provenance-based factors would improve the web search in view of providing beneficial quality content to the user. For users, many factors that affect personalisation may prove to be useful in determining the quality and trust in web documents. Also provenance information is helpful in filtering near duplicates from search results based on 6W factors. Hence this paper is aimed towards developing a web search system using provenance-based technique of near-duplicates detection and elimination. This system incorporates a personalised crawler (focused crawler) for computing author credentials which contributes to the trustworthiness of a web document. Finally, the results of the proposed system are compared with existing algorithms using a test bed of web documents.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114611993","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}
Simeon J. Yates, Babak Akhgar, Christopher D. Bates, Lukasz Jopek, Richard Wilson
{"title":"A platform for discovering and sharing confidential ballistic crime data","authors":"Simeon J. Yates, Babak Akhgar, Christopher D. Bates, Lukasz Jopek, Richard Wilson","doi":"10.1504/IJKWI.2011.044124","DOIUrl":"https://doi.org/10.1504/IJKWI.2011.044124","url":null,"abstract":"Criminal investigations generate large volumes of complex data that detectives have to analyse and understand. This data tend to be \"i¾siloed' within individual jurisdictions and re-using it in other investigations can be difficult. Investigations into trans-national crimes are hampered by the problem of discovering relevant data held by agencies in other countries and of sharing those data. Gun-crimes are one major type of incident that showcases this: guns are easily moved across borders and used in multiple crimes but finding that a weapon was used elsewhere in Europe is difficult. In this paper we report on the Odyssey Project, an EU-funded initiative to mine, manipulate and share data about weapons and crimes. The project demonstrates the automatic combining of data from disparate repositories for cross-correlation and automated analysis. The data arrive from different cultural/domains with multiple reference models using real-time data feeds and historical databases.","PeriodicalId":113936,"journal":{"name":"Int. J. Knowl. Web Intell.","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127951635","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}