Tiler: Software for human-guided data exploration

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Tutkijat

Organisaatiot

  • University of Helsinki

Kuvaus

Understanding relations in datasets is important for the successful application of data mining and machine learning methods. This paper describes tiler, a software tool for interactive visual explorative data analysis realising the interactive Human-Guided Data Exploration framework. tiler allows a user to formulate different hypotheses concerning the relations in a dataset. Data samples corresponding to these hypotheses are then compared visually, allowing the user to gain insight into relations in the dataset. The exploration process is iterative and the user gradually builds up his or her understanding of the data. Code related to this paper is available at: https://github.com/aheneliu/tiler.

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoMachine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings
ToimittajatUlf Brefeld, Alice Marascu, Fabio Pinelli, Edward Curry, Brian MacNamee, Neil Hurley, Elizabeth Daly, Michele Berlingerio
TilaJulkaistu - 1 tammikuuta 2019
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - Dublin, Irlanti
Kesto: 10 syyskuuta 201814 syyskuuta 2018

Julkaisusarja

NimiLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
KustantajaSpringer
Vuosikerta11053 LNAI
ISSN (painettu)0302-9743
ISSN (elektroninen)1611-3349

Conference

ConferenceEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
LyhennettäECML-PKDD
MaaIrlanti
KaupunkiDublin
Ajanjakso10/09/201814/09/2018

ID: 32155752