E-commerce is snowballing with advancements in technology, and as a result,
understanding complex transactional data has become increasingly important. To keep …

Finding frequent itemsets in a continuous streaming data is an important data mining task
which is widely used in network monitoring, Internet of Things data analysis and so on. In the …

Early detection of small and large leaks in water distribution pipes allows for proactive
maintenance and corrective actions to take place in a timely manner, thus mitigating …

The size, volume, variety, and velocity of geospatial data collected by geo-sensors, people,
and organizations are increasing rapidly. Spatial Data Infrastructures (SDIs) are ongoing to …

Numerous data mining algorithms are implemented using huge volume of sensor data to
generate the frequent item sets that are useful in many aspects such as to predict the …

针对大数据环境下基于Can 树的增量关联规则算法存在树结构空间占用过大,
支持度阈值无法动态设置以及Map 与Reduce 阶段数据传输耗时等问题, 提出了一种基于信息熵 …

Web usage mining is a critical stage in analyzing user behavior that involves mining
frequently visited pages. Mining usage patterns from a big weblog file using existing …

Data streams are modern data sources that are gaining attention as a consequence of their
many practical applications (they can be found in data transmission, eCommerce, and …

In the e-commerce industry, effectively guiding customers to select desired products poses a
significant challenge, necessitating the utilisation of technology and data-driven solutions …

Heterogeneity, volume and real-time velocity of manufacturing data affect the business
efficiency within the process for analyzing data in Robotic Process Automation (RPA). A …