Discovering unexpected and useful patterns in databases is a fundamental data mining task.
In recent years, a trend in data mining has been to design algorithms for discovering …

The main purpose of data mining and analytics is to find novel, potentially useful patterns
that can be utilized in real-world applications to derive beneficial knowledge. For identifying …

摘要互联网技术的迅猛发展把我们带进了信息爆炸的时代. 海量信息的同时呈现,
一方面使用户很难从中发现自己感兴趣的部分, 另一方面也使得大量少人问津的信息成为网络中 …

信息超载是目前网络用户面临的一个严重问题, 个性化推荐系统是解决该问题的一个有力工具,
并受到了众多的关注和研究. 给出推荐系统的定义, 同时阐述了推荐系统的几项关键技术 …

Abstract Internet of Things (IoT) analytics is an essential mean to derive knowledge and
support applications for smart homes. Connected appliances and devices inside the smart …

Abstract Association Rule Mining (ARM) is a significant task for discovering frequent patterns
in data mining. It has achieved great success in a plethora of applications such as market …

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

Itemset mining is an important subfield of data mining, which consists of discovering
interesting and useful patterns in transaction databases. The traditional task of frequent …

Responsible, efficient and environmentally aware energy consumption behavior is
becoming a necessity for the reliable modern electricity grid. In this paper, we present an …

The use and creation of machine‐learning‐based solutions to solve problems or reduce
their computational costs are becoming increasingly widespread in many domains. Deep …