107 citations · 286 across the 29 of their papers we have counts for
4 papers · 1 filter
A Novel Trend Symbolic Aggregate Approximation for Time Series
Yufeng Yu, Yuelong Zhu, Dingsheng Wan +2
Symbolic Aggregate approximation (SAX) is a classical symbolic approach in many time series data mining applications. However, SAX only reflects the segment mean value feature and…
Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects
Vineeth Rakesh, Ruocheng Guo, Raha Moraffah +2
Modeling spillover effects from observational data is an important problem in economics, business, and other fields of research. % It helps us infer the causality between two seemi…
NeuroRule: A Connectionist Approach to Data Mining
Hongjun Lu, Rudy Setiono, Huan Liu
Classification, which involves finding rules that partition a given data set into disjoint groups, is one class of data mining problems. Approaches proposed so far for mining class…
Challenges of Feature Selection for Big Data Analytics
Jundong Li, Huan Liu
We are surrounded by huge amounts of large-scale high dimensional data. It is desirable to reduce the dimensionality of data for many learning tasks due to the curse of dimensional…