Ausgabe 4/2020
Inhalt (9 Artikel)
The Swiss army knife of time series data mining: ten useful things you can do with the matrix profile and ten lines of code
Yan Zhu, Shaghayegh Gharghabi, Diego Furtado Silva, Hoang Anh Dau, Chin-Chia Michael Yeh, Nader Shakibay Senobari, Abdulaziz Almaslukh, Kaveh Kamgar, Zachary Zimmerman, Gareth Funning, Abdullah Mueen, Eamonn Keogh
Counting frequent patterns in large labeled graphs: a hypergraph-based approach
Jinghan Meng, Napath Pitaksirianan, Yi-Cheng Tu
Matrix profile goes MAD: variable-length motif and discord discovery in data series
Michele Linardi, Yan Zhu, Themis Palpanas, Eamonn Keogh
Open Access
struc2gauss: Structural role preserving network embedding via Gaussian embedding
Yulong Pei, Xin Du, Jianpeng Zhang, George Fletcher, Mykola Pechenizkiy
An ultra-fast time series distance measure to allow data mining in more complex real-world deployments
Shaghayegh Gharghabi, Shima Imani, Anthony Bagnall, Amirali Darvishzadeh, Eamonn Keogh
TEAGS: time-aware text embedding approach to generate subgraphs
Saeid Hosseini, Saeed Najafipour, Ngai-Man Cheung, Hongzhi Yin, Mohammad Reza Kangavari, Xiaofang Zhou
Open Access
ABBA: adaptive Brownian bridge-based symbolic aggregation of time series
Steven Elsworth, Stefan Güttel
Efficient mining of the most significant patterns with permutation testing
Leonardo Pellegrina, Fabio Vandin