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Displaying 1-50 out of 56 total
Intelligent Multimedia Recommender by Integrating Annotation and Association Mining
Found in: Sensor Networks, Ubiquitous, and Trustworthy Computing, International Conference on
By Vincent S. Tseng, Ja-Hwung Su, Bo-Wen Wang, Chin-Yuan Hsiao, Jay Huang, Hsin-Ho Yeh
Issue Date:June 2008
pp. 492-499
Making a decision among a set of items from compound and complex information has been becoming a difficult task for common users. Collaborative filtering has been the mainstay of automatically personalized search employed in contemporary recommender system...
 
Effective Video Annotation by Mining Visual Features and Speech Features
Found in: Intelligent Information Hiding and Multimedia Signal Processing, International Conference on
By Vincent. S. Tseng, Ja-Hwung Su, Chih-Jen Chen
Issue Date:November 2007
pp. 202-205
In the area of multimedia processing, a number of studies have been devoted to narrowing the gap between multimedia content and human sense. In fact, multimedia understanding is a difficult and challenging task even using machine-learning techniques. To de...
 
A Cluster-Based Divide-and-Conquer Genetic-Fuzzy Mining Approach for Items with Multiple Minimum Supports
Found in: Technologies and Applications of Artificial Intelligence, International Conference on
By Chun-Hao Chen, Lien-Chin Chen, Tzung-Pei Hong, Vincent S. Tseng
Issue Date:November 2010
pp. 532-536
In this paper, an enhanced efficient approach for speeding up the evolution process for finding minimum supports, membership functions and fuzzy association rules is proposed by utilizing clustering techniques. All the chromosomes use the requirement satis...
 
Mining High Transaction-Weighted Utility Itemsets
Found in: Computer Engineering and Applications, International Conference on
By Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng
Issue Date:March 2010
pp. 314-318
In this paper, we design a new kind of patterns, named high transaction-weighted utility itemsets, which considers not only individual profits and quantities of the items in a transaction, but also the contribution of each transaction in a database. We als...
 
Projection-Based Utility Mining with an Efficient Indexing Mechanism
Found in: Technologies and Applications of Artificial Intelligence, International Conference on
By Guo-Cheng Lan, Tzung-Pei Hong, Vincent S. Tseng
Issue Date:November 2010
pp. 137-141
In this paper, we propose an efficient mining approach which adopts an indexing mechanism to speed up the execution efficiency and reduce the memory requirement in the utility mining process. Besides, a pruning strategy is designed to reduce the number of ...
 
Mining temporal mobile sequential patterns in location-based service environments
Found in: Parallel and Distributed Systems, International Conference on
By Vincent S. Tseng, Eric Hsueh-Chan Lu, Cheng-Hsien Huang
Issue Date:December 2007
pp. 1-8
In recent years, a number of studies have been done on Location-Based Service (LBS) due to the wide applications. One important research issue is the tracking and prediction of users’ mobile behavior. In this paper, we propose a novel data minin...
 
Ontology-Based Semantic Web Image Retrieval by Utilizing Textual and Visual Annotations
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Ja-Hwung Su, Bo-Wen Wang, Hsin-Ho Yeh, Vincent S. Tseng
Issue Date:September 2009
pp. 425-428
The goal of traditional visual or textual-based image retrieval is to satisfy user’s queries by associating the images and semantic concepts effectively. As a result, perceptual structures of images have attracted researchers’ attention in recent studies. ...
 
Efficient Approaches for Multi-requests Route Planning in Urban Areas
Found in: 2013 14th IEEE International Conference on Mobile Data Management (MDM)
By Eric Hsueh-Chan Lu,Huan-Sheng Chen,Vincent S. Tseng
Issue Date:June 2013
pp. 36-45
In recent years, with the rapid developments of wireless technologies, researches on Location-Based Services (LBSs) have attracted extensive attentions and one active topic among them is constraint-based route planning on a Point-Of-Interest (POI) network....
 
Mining Cluster-Based Temporal Mobile Sequential Patterns in Location-Based Service Environments
Found in: IEEE Transactions on Knowledge and Data Engineering
By Eric Hsueh-Chan Lu, Vincent S. Tseng, Philip S. Yu
Issue Date:June 2011
pp. 914-927
Researches on Location-Based Service (LBS) have been emerging in recent years due to a wide range of potential applications. One of the active topics is the mining and prediction of mobile movements and associated transactions. Most of existing studies foc...
 
Music Recommendation Using Content and Context Information Mining
Found in: IEEE Intelligent Systems
By Ja-Hwung Su, Hsin-Ho Yeh, Philip S. Yu, Vincent S. Tseng
Issue Date:January 2010
pp. 16-26
<p>To offer music recommendations that suit the listener and the situation, uMender mines context information and musical content and then considers relevant user ratings.</p>
 
Segmentation of Time Series by the Clustering and Genetic Algorithms
Found in: Data Mining Workshops, International Conference on
By Vincent S. Tseng, Chun-Hao Chen, Chien-Hsiang Chen, Tzung-Pei Hong
Issue Date:December 2006
pp. 443-447
This paper proposes a time series segmentation approach by combining the clustering technique, the discrete wavelet transformation and the genetic algorithm to automatically find segments and patterns from a time series. The genetic algorithm is used to fi...
 
Efficient Algorithms for Mining High Utility Itemsets from Transactional Databases
Found in: IEEE Transactions on Knowledge and Data Engineering
By Vincent S. Tseng,Bai-En Shie,Cheng-Wei Wu,Philip S. Yu
Issue Date:August 2013
pp. 1772-1786
Mining high utility itemsets from a transactional database refers to the discovery of itemsets with high utility like profits. Although a number of relevant algorithms have been proposed in recent years, they incur the problem of producing a large number o...
 
Mining web navigation patterns with dynamic thresholds for navigation prediction
Found in: 2012 IEEE International Conference on Granular Computing (GrC-2012)
By Jia-Ching Ying,Chu-Yu Chin,Vincent S. Tseng
Issue Date:August 2012
pp. 614-619
Discovering web navigation patterns is an important issue in web usage mining with various applications like navigation prediction and improvement of website management. Since web site structure is always changed, we need not only consider the frequency of...
 
Semantic Video Retrieval by Integrating Concept- and Content-Aware Mining
Found in: Technologies and Applications of Artificial Intelligence, International Conference on
By Bo-Wen Wang,Ja-Hwung Su,Chien-Li Chou,Vincent S. Tseng
Issue Date:November 2011
pp. 32-37
Video retrieval has been a hot topic due to the prevalence of video capturing devices and media-sharing services such as YouTube. Until now, few past studies has focused on querying the videos by images due to the semantic gap between images and videos is ...
 
A Summary of Genetic-Fuzzy Data Mining Techniques
Found in: Granular Computing, IEEE International Conference on
By Tzung-Pei Hong, Chun-Hao Chen, Vincent S. Tseng
Issue Date:August 2010
pp. 28-29
In this article, we have introduced some genetic-fuzzy data mining techniques and their classification. The concept of fuzzy sets is used to handle quantitative transactions and the process of genetic calculation is executed to find appropriate membership ...
 
Genetic-Fuzzy Data Mining Techniques
Found in: Granular Computing, IEEE International Conference on
By Tzung-Pei Hong, Chun-Hao Chen, Vincent S. Tseng
Issue Date:August 2010
pp. 26-27
In this article, we have introduced some genetic-fuzzy data mining techniques and their classification. The concept of fuzzy sets is used to handle quantitative transactions and the process of genetic calculation is executed to find appropriate membership ...
 
Efficient Mining of a Concise and Lossless Representation of High Utility Itemsets
Found in: Data Mining, IEEE International Conference on
By Cheng Wei Wu,Philippe Fournier-Viger,Philip S. Yu,Vincent S. Tseng
Issue Date:December 2011
pp. 824-833
Mining high utility item sets from transactional databases is an important data mining task, which refers to the discovery of item sets with high utilities (e.g. high profits). Although several studies have been carried out, current methods may present too...
 
Photosense: Make sense of your photos with enriched harmonic music via emotion association
Found in: Multimedia and Expo, IEEE International Conference on
By Ja-Hwung Su, Ming-Hua Hsieh, Tao Mei,Vincent S. Tseng
Issue Date:July 2011
pp. 1-6
This paper proposes a novel audiovisual presentation system, called PhotoSense, to enrich photo navigation experience by associating emotionally harmonic music with a given photo collection. Different from many conventional photo visualization systems whic...
 
Efficient Relevance Feedback for Content-Based Image Retrieval by Mining User Navigation Patterns
Found in: IEEE Transactions on Knowledge and Data Engineering
By Ja-Hwung Su, Wei-Jyun Huang, Philip S. Yu, Vincent S. Tseng
Issue Date:March 2011
pp. 360-372
Nowadays, content-based image retrieval (CBIR) is the mainstay of image retrieval systems. To be more profitable, relevance feedback techniques were incorporated into CBIR such that more precise results can be obtained by taking user's feedbacks into accou...
 
Mining Cluster-Based Mobile Sequential Patterns in Location-Based Service Environments
Found in: Mobile Data Management, IEEE International Conference on
By Eric Hsueh-Chan Lu, Vincent S. Tseng
Issue Date:May 2009
pp. 273-278
In recent years, a number of studies have been done on Location-Based Service (LBS) due to their wide range of potential applications. In this paper, we propose a novel data mining algorithm named Cluster-based Mobile Sequential Pattern Mine (CMSP-Mine) fo...
 
An improved approach for sequential utility pattern mining
Found in: 2012 IEEE International Conference on Granular Computing (GrC-2012)
By Guo-Cheng Lan,Tzung-Pei Hong,Vincent S. Tseng,Shyue-Liang Wang
Issue Date:August 2012
pp. 226-230
In this paper, we propose an efficient projection-based algorithm to discover high sequential utility patterns from quantitative sequence databases. An effective pruning strategy in the proposed algorithm is designed to tighten upper-bounds for subsequence...
 
PTCR-Miner: Progressive Temporal Class Rule Mining for Multivariate Temporal Data Classification
Found in: Data Mining Workshops, International Conference on
By Chao-Hui Lee, Vincent S. Tseng
Issue Date:December 2010
pp. 25-32
Recently, multivariate temporal data classification has been widely applied on many fields, such as bio-signals analysis, stocks prediction and weather forecasting. Multivariate temporal data contains hybrid type of attributes like numeric and categorical ...
 
Energy Efficient Object Tracking in Sensor Networks by Mining Temporal Moving Patterns
Found in: Sensor Networks, Ubiquitous, and Trustworthy Computing, International Conference on
By Vincent S. Tseng, Kawuu W. Lin, Ming-Hua Hsieh
Issue Date:June 2008
pp. 170-176
Object tracking sensor networks (OTSNs) have received extensive attentions for researches in recent years due to the wide applications. One important research issue in OTSNs is the energy saving strategy in considering the limited power of sensor nodes. Th...
 
Discovering Gene Clusters via Integrated Analysis on Time-Series and Group-Comparative Microarray Datasets
Found in: Computer-Based Medical Systems, IEEE Symposium on
By Vincent S. Tseng, Lien-Chin Chen, Yao-Dung Hsieh
Issue Date:June 2006
pp. 177-182
In this paper, we propose a novel gene clustering method named TGmix through integrated analysis on two types of datasets, namely the time-series and twogroup microarray datasets. The goal of the proposed method is to discover genes as biomarkers that have...
 
Mining Temporal Moving Patterns in Object Tracking Sensor Networks
Found in: Ubiquitous Data Management, International Workshop on
By Vincent S. Tseng, Kawuu W. Lin
Issue Date:April 2005
pp. 105-112
<p>Advances in wireless communication and microelectronic devices technologies have enabled the development of low-power micro-sensors and the deployment of large scale sensor networks. With the capabilities of pervasive surveillance, sensor networks...
 
Discovering Clinical Biomarkers of Chronic Hepatitis B by Mining Mutation Hotspots
Found in: Technologies and Applications of Artificial Intelligence, International Conference on
By Chun-Pei Cheng,Pei-Fen Lee,Chu-Yu Chin,Wen-Chun Liu,I-Chin Wu,Ting-Tsung Chang,Vincent S. Tseng
Issue Date:November 2011
pp. 51-56
Hepatitis B virus (HBV) is the most common DNA virus that may cause hepatitis, cirrhosis and hepatocellular carcinoma. Although many people are persistently infected with HBV, the serum viral load and host immune response varies from person to person. Beca...
 
CTGR-Span: Efficient mining of cross-timepoint gene regulation sequential patterns from microarray datasets
Found in: 2012 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
By Chun-Pei Cheng,Yi-Lin Tsai,Vincent S. Tseng
Issue Date:October 2012
pp. 1-4
Sequential pattern mining techniques have been widely used in different topics of interest, such as mining customer purchasing sequences from a transactional database. Notably, observation of gene expressions to discover gene regulations during biological ...
 
Efficient pattern-based conceptual image retrieval
Found in: 2012 IEEE International Conference on Granular Computing (GrC-2012)
By Ja-Hwung Su,Chun-Yi Kuo,Vincent S. Tseng
Issue Date:August 2012
pp. 441-446
Actually, text-based image retrieval is a method to retrieve the user's interested images semantically, but there still exist some problems in it such as high-priced manual annotation cost. To avoid the problems in text-based image retrieval, a considerabl...
 
Trip-Mine: An Efficient Trip Planning Approach with Travel Time Constraints
Found in: Mobile Data Management, IEEE International Conference on
By Eric Hsueh-Chan Lu,Chih-Yuan Lin,Vincent S. Tseng
Issue Date:June 2011
pp. 152-161
With the rapid development of wireless telecommunication technologies, a number of studies have been done on the Location-Based Services (LBSs) due to wide applications. Among them, one of the active topics is travel recommendation. Most of previous studie...
 
Challenges for Mobile Data Management in the Era of Cloud and Social Computing
Found in: Mobile Data Management, IEEE International Conference on
By Chatschik Bisdikian,Bernhard Mitschang,Dino Pedreschi,Vincent S. Tseng,Claudio Bettini
Issue Date:June 2011
pp. 6
No summary available.
 
Effective image semantic annotation by discovering visual-concept associations from image-concept distribution model
Found in: Multimedia and Expo, IEEE International Conference on
By Ja-Hwung Su, Chien-Li Chou, Ching-Yung Lin, Vincent S. Tseng
Issue Date:July 2010
pp. 42-47
Up to the present, the contemporary studies are not really successful in image annotation due to some critical problems like diverse regularities between visual features and human concepts. Such diverse regularities make it hard to annotate the image seman...
 
A Framework for Personalized Health Trend Analysis
Found in: Parallel Architectures, Algorithms, and Networks, International Symposium on
By Guo-Cheng Lan, Chao-Hui Lee, Jin-Shang Wu, Huan-Chung Li, Shing-Hua Ho, Vincent S. Tseng
Issue Date:December 2009
pp. 405-409
In recent years, with the development of the economy and the advancement of the national income, personal healthcare has been becoming an important issue. Since the health examination can help people understand their own health conditions clearly, many peo...
 
Data mining for biomarker discovery: The time is ripe
Found in: Bioinformatics and Biomedicine Workshop, IEEE International Conference on
By Vincent S. Tseng, Hui-Huang Hsu, Jake Y. Chen
Issue Date:November 2009
pp. 195-196
Identifying molecular biomarkers has become an essential topic of study in biological data mining, bioinformatics, and translational medicine today. Although the exact definition for biomarkers is still up for debate, it is commonly used to refer to the pr...
 
Mining Temporal Region-Based Service Patterns for Cooperative Caching in Wireless Multimedia Sensor Networks
Found in: Intelligent Information Hiding and Multimedia Signal Processing, International Conference on
By Vincent S. Tseng, Kawuu W. Lin, Ming-Hua Hsieh
Issue Date:September 2009
pp. 1240-1244
In recent years, a number of applications have been implemented on wireless sensor networks (WSNs). One important issue in WSNs is energy saving. Different from the traditional applications of WSNs, the applications of Wireless Multimedia Sensor Networks h...
 
Effective Ranking and Recommendation on Web Page Retrieval by Integrating Association Mining and PageRank
Found in: Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on
By Ja-Hwung Su, Bo-Wen Wang, Vincent S. Tseng
Issue Date:December 2008
pp. 455-458
Nowadays, the well-known search engines, such as Google, Yahoo, MSN, etc, have provided the users with good search results based on special search strategies. However there still exist some problems unsolved for traditional search engines, including: 1) th...
 
Mining Region-Based Movement Patterns for Energy-Efficient Object Tracking in Sensor Networks
Found in: Intelligent Systems Design and Applications, International Conference on
By Vincent S. Tseng, Ming Hua Hsieh, Kawuu W. Lin
Issue Date:November 2008
pp. 188-196
In recent years, a number of studies have been done on object tracking sensor networks (OTSNs) due to the wide applications. One important issue in OTSNs is the energy saving strategy for object tracking and most existing solutions are based on statistical...
 
An Integrated Data Mining System for Patient Monitoring with Applications on Asthma Care
Found in: Computer-Based Medical Systems, IEEE Symposium on
By Vincent S. Tseng, Chao-Hui Lee, Jessie Chia-Yu Chen
Issue Date:June 2008
pp. 290-292
In this paper, we proposed an integrated data mining system for patient monitoring with applications on asthma care. In this system, two data mining methods named PBD and PBC are designed for predicting asthma attacks. The main methodology is to extract th...
 
Feature Selection for Medical Data Mining: Comparisons of Expert Judgment and Automatic Approaches
Found in: Computer-Based Medical Systems, IEEE Symposium on
By Tsang-Hsiang Cheng, Chih-Ping Wei, Vincent S. Tseng
Issue Date:June 2006
pp. 165-170
Data mining refers to the process of automatic extracting previously unknown, valid, and actionable patterns or knowledge from large databases for crucial decision support. Among different data mining technique, classification analysis is widely adopted fo...
 
Efficiently Mining Gene Expression Data via a Novel Parameterless Clustering Method
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Vincent S. Tseng, Ching-Pin Kao
Issue Date:October 2005
pp. 355-365
<p><b>Abstract</b>—Clustering analysis has been an important research topic in the machine learning field due to the wide applications. In recent years, it has even become a valuable and useful tool for in-silico analysis of microarray or...
 
An Energy-Efficient Approach for Real-Time Tracking of Moving Object in Multi-Level Sensor Networks
Found in: Real-Time Computing Systems and Applications, International Workshop on
By Vincent S. Tseng, Eric H. C. Lu, Kawuu W. Lin
Issue Date:August 2005
pp. 305-310
In this paper, we propose a new approach for efficient and real-time tracking of the moving objects in sensor networks by mining the movement log. In our approach, we first conduct the hierarchical clustering to form a hierarchical model for the sensor nod...
 
A New Method for Image Classification by Using Multilevel Association Rules
Found in: Data Engineering Workshops, 22nd International Conference on
By Vincent S. Tseng, Ming-Hsiang Wang, Ja-Hwung Su
Issue Date:April 2005
pp. 1180
With the popularity of multimedia applications, the huge amount of image and video related to real life have led to the proliferation of emerging storage techniques. Contented-based image retrieval and classification have become attractive issues in the la...
 
A Novel Recommendation Method Based on Rough Set and Integrated Feature Mining
Found in: Innovative Computing ,Information and Control, International Conference on
By Vincent S. Tseng, Ja-Hwung Su, Bo-Wen Wang, Chin-Yuan Hsiao
Issue Date:June 2008
pp. 330
The explosive growth of information makes people confused in making a choice among a huge amount of products, like movies, books, etc. To help people clarify what they want easily, in this study, we present an intelligent recommendation approach named RSCF...
 
Efficient Algorithms for Mining the Concise and Lossless Representation of Closed+ High Utility Itemsets
Found in: IEEE Transactions on Knowledge and Data Engineering
By Cheng-Wei Wu,Philippe Fournier-Viger,Philip S. yu,Vincent S. Tseng
Issue Date:August 2014
pp. 1
Mining high utility itemsets (HUIs) from databases is an important data mining task, which refers to the discovery of itemsets with high utilities (e.g. high profits). However, it may present too many HUIs to users, which also degrades the efficiency of th...
 
Mining top-K high utility itemsets
Found in: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '12)
By Bai-En Shie, Cheng Wei Wu, Philip S. Yu, Vincent S. Tseng
Issue Date:August 2012
pp. 78-86
Mining high utility itemsets from databases is an emerging topic in data mining, which refers to the discovery of itemsets with utilities higher than a user-specified minimum utility threshold min_util. Although several studies have been carried out on thi...
     
UP-Growth: an efficient algorithm for high utility itemset mining
Found in: Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '10)
By Bai-En Shie, Cheng-Wei Wu, Philip S. Yu, Vincent S. Tseng
Issue Date:July 2010
pp. 253-262
Mining high utility itemsets from a transactional database refers to the discovery of itemsets with high utility like profits. Although a number of relevant approaches have been proposed in recent years, they incur the problem of producing a large number o...
     
Mining geographic-temporal-semantic patterns in trajectories for location prediction
Found in: ACM Transactions on Intelligent Systems and Technology (TIST)
By Josh Jia-Ching Ying, Vincent S. Tseng, Wang-Chien Lee
Issue Date:December 2013
pp. 1-33
In recent years, research on location predictions by mining trajectories of users has attracted a lot of attention. Existing studies on this topic mostly treat such predictions as just a type of location recommendation, that is, they predict the next locat...
     
TNS: mining top-k non-redundant sequential rules
Found in: Proceedings of the 28th Annual ACM Symposium on Applied Computing (SAC '13)
By Philippe Fournier-Viger, Vincent S. Tseng
Issue Date:March 2013
pp. 164-166
Mining sequential rules from sequence databases is an important research problem with wide applications. However, depending on the choice of the thresholds, current algorithms can become very slow and generate an extremely large amount of results or genera...
     
Personalized trip recommendation with multiple constraints by mining user check-in behaviors
Found in: Proceedings of the 20th International Conference on Advances in Geographic Information Systems (SIGSPATIAL '12)
By Ching-Yu Chen, Eric Hsueh-Chan Lu, Vincent S. Tseng
Issue Date:November 2012
pp. 209-218
In recent years, researches on travel recommendation have attracted extensive attentions due to the wide applications. Among them, one of the active topics is constraint-based trip recommendation for meeting user's personal requirements. Although a number ...
     
Followee recommendation in asymmetrical location-based social networks
Found in: Proceedings of the 2012 ACM Conference on Ubiquitous Computing (UbiComp '12)
By Eric Hsueh-Chan Lu, Josh Jia-Ching Ying, Vincent S. Tseng
Issue Date:September 2012
pp. 988-995
Researches on recommending followees in social networks have attracted a lot of attentions in recent years. Existing studies on this topic mostly treat this kind of recommendation as just a type of friend recommendation. However, apart from making friends,...
     
Urban point-of-interest recommendation by mining user check-in behaviors
Found in: Proceedings of the ACM SIGKDD International Workshop on Urban Computing (UrbComp '12)
By Eric Hsueh-Chan Lu, Josh Jia-Ching Ying, Vincent S. Tseng, Wen-Ning Kuo
Issue Date:August 2012
pp. 63-70
In recent years, researches on recommendation of urban Points-Of-Interest (POI), such as restaurants, based on social information have attracted a lot of attention. Although a number of social-based recommendation techniques have been proposed in the liter...
     
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