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The goal of data mining is to help market managers find relationships among items from large data sets to increase sales volume. The Apriori algorithm is a method for association rule mining, a data mining technique. Although a lot of mining approaches ...

This paper proposes a novel methodology for stock investing using the technique of episode mining and technical indicators. The time-series data of stock price is used for the construction of complex episode events and rules. Our experimental results ...

In this paper, a new feature extraction algorithm named Adaptive Weighted Nearest Feature Space Analysis (AWNFSA) is proposed. AWNFSA is a Nearest Feature Space (NFS) based subspace learning approach. In Discriminant Nearest Feature Space Analysis (...

Mining frequent item sets is to discover the groups of items appearing always together excess of a user specified threshold from a transaction database. However, there may be many frequent item sets existing in a transaction database, such that it is ...

There are many applications of using association rules in data streams, such as market analysis, network security, sensor networks and web tracking. Mining closed frequent item sets is a further work of mining association rules, which aims to find the ...

Health examination has played an important role for maintaining people's health since it can not only help people understand their own health conditions clearly but also avoid missing the best timing of disease treatment. However, in current health ...

Handling bug reports is an important issue in software maintenance. Recently, detection on duplicate bug reports has received much attention. There are two main reasons. First, duplicate bug reports may waste human resource to process these redundant ...

Genre classification for musical documents is conventionally based on keywords, statistical features or low-level acoustic features. Such features are either lack of in-depth information of music content or incomprehensible for music professionals. This ...

Most traditional machine learning methods make an assumption that the distribution of the training dataset is the same as the applied domain. Transfer learning omits this assumption and is able to transfer knowledge between different domains. It is a ...

We consider the problem of link prediction in the bipartite network of Wikipedia. Bipartite stands for an important class in social networks, and many unipartite networks can be reinterpreted as bipartite networks when edges are modeled as vertices, ...

In this paper, a strategy to increase the performance of particle swarm optimization is proposed. The idea is to altering the content of the worst particle of the personal best particles after each iteration. The behavior of the worst personal best ...

Selection operator is one important operator in genetic algorithm (termed GA). It has significant influences on the performance of algorithm. Roulette wheel selection is a frequently used selection operator in implementation of GA. However it does not ...

Single nucleotide polymorphisms (SNPs) are the most common genetic variations that can be genotyped effectively by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). Although PCR-RFLP has become the popular technique, search ...

Master thesis defense scheduling problem is a real-world practical problem that arises from the Vietnamese Universities. In this paper, we give the formulation of the problem based on realistic requirements. We then show that the considered problem is ...

The PID controllers are the most commonly used controllers in industrial applications. As is well known, the PID controllers are susceptible to noise interference and windup effect. More practical alternatives are lead-lag controllers. Traditionally, ...

In this paper, an improved DE is proposed to improve optimization performance by implementing three new schemes: sharing mutation, current-to-better mutation and real-random-mutation. When evolution speed is standstill, sharing mutation can increase the ...

In this paper, a scheme of moving-vehicles behavior detection based on a Zigbee network is proposed. Three-axis accelerometers are installed on vehicles to capture the moving vehicle postures. A fuzzy inference system is developed to infer the six basic ...

The latest estimates for worldwide diabetic population is about 366 million, with the expected diabetic population in 2030 at 552 million. The steadily increasing diabetic population and strained health resources call for a more efficient approach to ...

In this paper, a data acquisition and integration platform for internet of things is proposed. The platform is developed under a cloud computing environment using context-oriented approaches. It collects sensor data from different types of sensor ...

Information and Communication Technology (ICT) has been considered an important avenue for ensuring patients' good health, full social participation, and independent living as long as possible through their entire life span. In the last decade, various ...

Many researches focus on clustering location or time series. In time series data, similarity metric are often used to measure the similar data. Many works use different algorithms to calculate similarity between two subsequences. Also, in location ...

Lifetime is a key issue in wireless sensor network (WSN) applications. An effective way to extend WSN lifetime is to partition the set of sensors into several covers and activate them alternately. More covers then lead to longer lifetime. Finding the ...

This paper proposes a framework that automatically generates multiple-choice questions. Unlike most other similar works that focus on generating questions for English proficiency tests, this paper provides a framework to generate factual questions in ...

Due to the rapid growth of music data, how to effectively and efficiently retrieve the interested music piece has been an attractive issue in recent years. In traditional music retrieval systems, the most popular way is to retrieve the music piece by ...