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
592014
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
412012
CEECing the baseline: Lexical stability and significant change in a historical corpus
J Lijffijt, T Säily, T Nevalainen
Helsinki Corpus Festival, 2012
242012
Size matters: Finding the most informative set of window lengths
J Lijffijt, P Papapetrou, K Puolamäki
European Conference on Machine Learning and Principles and Practice of …, 2012
222012
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
Benchmarking dynamic time warping for music retrieval
J Lijffijt, P Papapetrou, J Hollmén, V Athitsos
International Conference on PErvasive Technologies Related to Assistive …, 2010
182010
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
17*2012
Visually controllable data mining methods
K Puolamaki, P Papapetrou, J Lijffijt
IEEE International Conference on Data Mining Workshops (ICDMW), 409-417, 2010
162010
Interactive visual data exploration with subjective feedback
K Puolamäki, B Kang, J Lijffijt, T De Bie
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016
132016
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
132016
P-N-RMiner: A Generic Framework for Mining Interesting Structured Relational Patterns
J Lijffijt, E Spyropoulou, B Kang, T De Bie
Data Science and Advanced Analytics (DSAA), 2015. 36678 2015. IEEE …, 2015
132015
Subjectively interesting component analysis: Data projections that contrast with prior expectations
B Kang, J Lijffijt, R Santos-Rodríguez, T De Bie
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
112016
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
Informative Data Projections: A Framework and Two Examples
T De Bie, J Lijffijt, R Santos-Rodriguez, B Kang
arXiv preprint arXiv:1511.08762, 2015
92015
Conditional Network Embeddings
B Kang, J Lijffijt, T De Bie
arXiv preprint arXiv:1805.07544, 2018
82018
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
82018
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
82018
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
72018
Subjectively Interesting Connecting Trees
F Adriaens, J Lijffijt, T De Bie
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
72017
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
72016
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Articles 1–20