Periodic pattern mining is a topic for mining periodic event patterns with sufficient
confidence. The resulted patterns are often used to predict future events because they have …

The potential employability in diferent applications has garnered more signifcance for
Periodic High-Utility Itemset Mining (PHUIM). It is to be noted that the conventional utility …

As IoT-enabled sensors become more pervasive, very large time series data are
increasingly generated and made available for advanced data analytics. By mining temporal …

Data mining technology can analyze and mine university management data, provide more
data support for university management, and play an important role in optimizing teaching …

Soft Computing: Engineering Applications Page 1 8 New Fixed Point Results in Orthogonal
Neutrosophic Triple Controlled Rectangular b-Metric Spaces Gunaseelan Mani, Ozgur Ege …

Recently, the fixed-point theorem for fuzzy contractive mappings has been investigated
within the framework of intuitionistic fuzzy metric-like spaces. This interesting topic was …

The problem of how to use large amounts of historical data for tunnel safety management
has a greater practical application value. The association rule method in data mining …

In the digital era, particularly with the rise of online teaching, traditional approaches to
college physical education face challenges in adequately monitoring and enhancing …

Based on a brief analysis of the current situation of university education management and
research on intelligent algorithms, this article constructs a university education management …

传统的关联规则挖掘算法有三种, 分别是Apriori 算法, FP-growth 算法和Eclat 算法.
其中传统的Apriori 算法简单易实现, 但处理海量数据时耗时巨大且磁盘I/O 过高, 效率低下. 而FP …