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Article
Discovering negative comments by sentiment analysis on web forum
Social media enables people to communicate with each other on the Internet in real-time and rich styles. In other words, there is a lot of information on the social media. If we can extract negative opinions o...
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Article
EFIM: a fast and memory efficient algorithm for high-utility itemset mining
In recent years, high-utility itemset mining has emerged as an important data mining task. However, it remains computationally expensive both in terms of runtime and memory consumption. It is thus an important...
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Article
Integrating tourist packages and tourist attractions for personalized trip planning based on travel constraints
In recent years, with the upgrading of mobile positioning and the popularity of smart devices, location related research gets a lot of attentions. One of popular issues is the trip planning problem. Although m...
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Article
Weighted frequent itemset mining over uncertain databases
Frequent itemset mining (FIM) is a fundamental research topic, which consists of discovering useful and meaningful relationships between items in transaction databases. However, FIM suffers from two important ...
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Article
An efficient projection-based indexing approach for mining high utility itemsets
Recently, utility mining has widely been discussed in the field of data mining. It finds high utility itemsets by considering both profits and quantities of items in transactional data sets. However, most of t...
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Article
Efficient algorithms for discovering high utility user behavior patterns in mobile commerce environments
Mining user behavior patterns in mobile environments is an emerging topic in data mining fields with wide applications. By integrating moving paths with purchasing transactions, one can find the sequential pur...
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Article
A hybrid scheme for energy-efficient object tracking in sensor networks
Energy saving is a critical issue in many sensor-network-based applications. Among the existing sensor-network-based applications, the surveillance application has attracted extensive attention. Object trackin...
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Article
Mining interesting user behavior patterns in mobile commerce environments
Discovering user behavior patterns from mobile commerce environments is an essential topic with wide applications, such as planning physical shop** sites, maintaining e-commerce on mobile devices and managin...
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Article
Preference-oriented mining techniques for location-based store search
With the development of wireless telecommunication technologies, a number of studies have been done on the issues of location-based services due to wide applications. Among them, one of the active topics is th...
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Article
Societally connected multimedia across cultures
The advance of the Internet in the past decade has radically changed the way people communicate and collaborate with each other. Physical distance is no more a barrier in online social networks, but cultural d...
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Article
Mining fastest path from trajectories with multiple destinations in road networks
Nowadays, research on Intelligent Transportation System (ITS) has received many attentions due to its broad applications, such as path planning, which has become a common activity in our daily life. Besides, w...
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Article
Hybrid data mining approaches for prevention of drug dispensing errors
Prevention of drug dispensing errors is an importance topic in medical care. In this paper, we propose a risk management approach, namely Hybrid Data Mining (HDM), to prevent the problem of drug dispensing errors...