2 citations · 5 across the 8 of their papers we have counts for
8 papers
SeqRFM: Fast RFM Analysis in Sequence Data
Yanxin Zheng, Wensheng Gan, Zefeng Chen +2
In recent years, data mining technologies have been well applied to many domains, including e-commerce. In customer relationship management (CRM), the RFM analysis model is one of…
Repetitive nonoverlapping sequential pattern mining
Meng Geng, Youxi Wu, Yan Li +4
Sequential pattern mining (SPM) is an important branch of knowledge discovery that aims to mine frequent sub-sequences (patterns) in a sequential database. Various SPM methods have…
Rice Plant Disease Detection and Diagnosis using Deep Convolutional Neural Networks and Multispectral Imaging
Yara Ali Alnaggar, Ahmad Sebaq, Karim Amer +2
Rice is considered a strategic crop in Egypt as it is regularly consumed in the Egyptian people's diet. Even though Egypt is the highest rice producer in Africa with a share of 6 m…
: Generative Open-Set Node Classification on Graphs with Proxy Unknowns
Qin Zhang, Zelin Shi, Xiaolin Zhang +3
Node classification is the task of predicting the labels of unlabeled nodes in a graph. State-of-the-art methods based on graph neural networks achieve excellent performance when a…
Image-text Retrieval via Preserving Main Semantics of Vision
Xu Zhang, Xinzheng Niu, Philippe Fournier-Viger +1
Image-text retrieval is one of the major tasks of cross-modal retrieval. Several approaches for this task map images and texts into a common space to create correspondences between…
Targeted Mining of Top-k High Utility Itemsets
Shan Huang, Wensheng Gan, Jinbao Miao +2
Finding high-importance patterns in data is an emerging data mining task known as High-utility itemset mining (HUIM). Given a minimum utility threshold, a HUIM algorithm extracts a…