Representation Learning of Tangled Key-Value Sequence Data for Early Classification

arXiv:2404.07454v1 Announce Type: new
Abstract: Key-value sequence data has become ubiquitous and naturally appears in a variety of real-world applications, ranging from the user-product purchasing sequences in e-commerce, to network packet sequences forwarded by routers in networking. Classifying these key-value sequences is important in many scenarios such as user profiling and malicious applications identification. In many time-sensitive scenarios, besides the requirement of classifying a key-value sequence accurately, it is also desired to classify a key-value sequence early, in order to …

abstract applications arxiv become classification commerce cs.lg cs.ni data e-commerce key network networking product profiling representation representation learning routers type value world