Jefrey Lijffijt
Jefrey Lijffijt
Assistant Professor
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Titel
Zitiert von
Zitiert von
Jahr
Significance testing of word frequencies in corpora
J Lijffijt, T Nevalainen, T Säily, P Papapetrou, K Puolamäki, H Mannila
Digital Scholarship in the Humanities, 2014
852014
A statistical significance testing approach to mining the most informative set of patterns
J Lijffijt, P Papapetrou, K Puolamäki
Data Mining and Knowledge Discovery, 1-26, 2012
462012
Correction to Stefan Th. Gries’ “Dispersions and adjusted frequencies in corpora”
J Lijffijt, ST Gries
International Journal of Corpus Linguistics 17 (1), 147-149, 2012
34*2012
CEECing the baseline: Lexical stability and significant change in a historical corpus
J Lijffijt, T Säily, T Nevalainen
Helsinki Corpus Festival, 2012
282012
Conditional Network Embeddings
B Kang, J Lijffijt, T De Bie
International Conference on Learning Representations, 2019
262019
Size matters: Choosing the most informative set of window lengths for mining patterns in event sequences
J Lijffijt, P Papapetrou, K Puolamäki
Data Mining and Knowledge Discovery, 1-27, 2014
25*2014
SICA: subjectively interesting component analysis
B Kang, J Lijffijt, R Santos-Rodríguez, T De Bie
Data Mining and Knowledge Discovery 32 (4), 949-987, 2018
22*2018
Analyzing word frequencies in large text corpora using inter-arrival times and bootstrapping
J Lijffijt, P Papapetrou, K Puolamäki, H Mannila
European Conference on Machine Learning and Principles and Practice of …, 2011
202011
Quantifying and minimizing risk of conflict in social networks
X Chen, J Lijffijt, T De Bie
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
192018
Visually controllable data mining methods
K Puolamaki, P Papapetrou, J Lijffijt
IEEE International Conference on Data Mining Workshops (ICDMW), 409-417, 2010
192010
Subjectively interesting connecting trees and forests
F Adriaens, J Lijffijt, T De Bie
Data Mining and Knowledge Discovery 33 (4), 1088-1124, 2019
17*2019
Benchmarking dynamic time warping for music retrieval
J Lijffijt, P Papapetrou, J Hollmén, V Athitsos
International Conference on PErvasive Technologies Related to Assistive …, 2010
172010
A Constrained Randomization Approach to Interactive Visual Data Exploration with Subjective Feedback
B Kang, K Puolamäki, J Lijffijt, T De Bie
IEEE Transactions on Knowledge and Data Engineering, 2019
15*2019
Interactive visual data exploration with subjective feedback: An information-theoretic approach
K Puolamäki, E Oikarinen, B Kang, J Lijffijt, T De Bie
2018 IEEE 34th International Conference on Data Engineering (ICDE), 1208-1211, 2018
152018
P-N-RMiner: A generic framework for mining interesting structured relational patterns
J Lijffijt, E Spyropoulou, B Kang, T De Bie
International Journal of Data Science and Analytics 1 (1), 61-76, 2016
152016
EvalNE: A Framework for Evaluating Network Embeddings on Link Prediction
A Mara, J Lijffijt, T De Bie
arXiv preprint arXiv:1901.09691, 2019
112019
SuMoTED: An intuitive edit distance between rooted unordered uniquely-labelled trees
M McVicar, B Sach, C Mesnage, J Lijffijt, E Spyropoulou, T De Bie
Pattern Recognition Letters 79, 52-59, 2016
112016
Subjectively interesting subgroup discovery on real-valued targets
J Lijffijt, B Kang, W Duivesteijn, K Puolamaki, E Oikarinen, T De Bie
2018 IEEE 34th International Conference on Data Engineering (ICDE), 1352-1355, 2018
102018
Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress?
AC Mara, J Lijffijt, T De Bie
2020 IEEE 7th International Conference on Data Science and Advanced …, 2020
9*2020
Detecting trends in twitter time series
T De Bie, J Lijffijt, C Mesnage, R Santos-Rodríguez
2016 IEEE 26th International Workshop on Machine Learning for Signal …, 2016
82016
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