Jefrey Lijffijt
Jefrey Lijffijt
Assistant Professor
Verified email at ugent.be - Homepage
Title
Cited by
Cited by
Year
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
672014
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
432012
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
24*2014
CEECing the baseline: Lexical stability and significant change in a historical corpus
J Lijffijt, T Säily, T Nevalainen
Helsinki Corpus Festival, 2012
242012
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
21*2012
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
19*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
182011
Visually controllable data mining methods
K Puolamaki, P Papapetrou, J Lijffijt
IEEE International Conference on Data Mining Workshops (ICDMW), 409-417, 2010
172010
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
Subjectively interesting connecting trees and forests
F Adriaens, J Lijffijt, T De Bie
Data Mining and Knowledge Discovery 33 (4), 1088-1124, 2019
15*2019
Conditional Network Embeddings
B Kang, J Lijffijt, T De Bie
International Conference on Learning Representations, 2019
142019
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
14*2019
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
142016
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
122018
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
92018
A tool for subjective and interactive visual data exploration
B Kang, K Puolamäki, J Lijffijt, T De Bie
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016
92016
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
82018
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
82016
EvalNE: A Framework for Evaluating Network Embeddings on Link Prediction
A Mara, J Lijffijt, T De Bie
arXiv preprint arXiv:1901.09691, 2019
72019
A simple model for recognizing core genres in the BNC
J Lijffijt, T Nevalainen
Studies in Variation, Contacts and Change in English 19, 2017
62017
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Articles 1–20