Due to the rapid growth of resource sharing, distributed systems are developed, which can
be used to utilize the computations. Data mining (DM) provides powerful techniques for …

Pattern mining is a fundamental technique of data mining to discover interesting correlations
in the data set. There are several variations of pattern mining, such as frequent itemset …

With the growing popularity of shared resources, large volumes of complex data of different
types are collected automatically. Traditional data mining algorithms generally have …

摘要大数据时代, 相关分析因其具有可以快捷, 高效地发现事物间内在关联的优势而受到广泛的
关注, 并有效地应用于推荐系统, 商业分析, 公共管理, 医疗诊断等领域. 面向非线性 …

The increasing popularity of Internet of Things (IoT) devices makes them an attractive target
for malware authors. In this paper, we use sequential pattern mining technique to detect …

摘要大数据往往呈现出大规模性, 多模态性以及快速增长性等特征. 粒计算是智能信息处理领域
中大规模复杂问题求解的有效范式. 从推动大数据挖掘研究角度, 本文首先概要地讨论了大数据 …

The Art and Science of Analyzing Software Data provides valuable information on analysis
techniques often used to derive insight from software data. This book shares best practices …

Mining frequent subgraphs from a large collection of graph objects is an important problem
in several application domains such as bio-informatics, social networks, computer vision …

Technology advancements have led to the use of millions of IoT devices. However, IoT
devices are being exploited as an entry point due to security flaws by resource constraints …

Frequent Episode Mining (FEM), which aims at mining frequent sub-sequences from a
single long event sequence, is one of the essential building blocks for the sequence mining …