DataLearner: A data mining and knowledge discovery tool for android smartphones and tablets

Research output: Book chapter/Published conference paperConference paperpeer-review

1 Citation (Scopus)

Abstract

Smartphones have become the ultimate ‘personal’ computer, yet despite this, general-purpose data mining and knowledge discovery tools for mobile devices are surprisingly rare. DataLearner is a new data mining application designed specifically for Android devices that imports the Weka data mining engine and augments it with algorithms developed by Charles Sturt University. Moreover, DataLearner can be expanded with additional algorithms. Combined, DataLearner delivers 40 classification, clustering and association rule mining algorithms for model training and evaluation without need for cloud computing resources or network connectivity. It provides the same classification accuracy as PCs and laptops, while doing so with acceptable processing speed and consuming negligible battery life. With its ability to provide easy-to-use data mining on a phone-size screen, DataLearner is a new portable, self-contained data mining tool for remote, personalised and educational applications alike. DataLearner features four elements – this paper, the app available on Google Play, the GPL3-licensed source code on GitHub and a short video on YouTube.
Original languageEnglish
Title of host publicationAdvanced data mining and applications
Subtitle of host publication15th international conference, ADMA 2019, proceedings
EditorsJianxin Li, Sen Wang, Shaowen Qin, Xue Li, Shuliang Wang
Place of PublicationCham, Switzerland
PublisherSpringer
Pages828-838
Number of pages11
Volume11888
ISBN (Electronic)9783030352318
ISBN (Print)9783030352301
DOIs
Publication statusPublished - 15 Nov 2019
Event15th International Conference on Advanced Data Mining and Applications 2019: ADMA 2019 - Hi Chance (Dalian) Science & Technology Center, Dalian, China
Duration: 21 Nov 201923 Nov 2019
https://web.archive.org/web/20191216185322/http://adma2019.neusoft.edu.cn/ (Conference website)
https://link.springer.com/book/10.1007/978-3-030-35231-8 (proceedings)

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume11888
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Advanced Data Mining and Applications 2019
Country/TerritoryChina
CityDalian
Period21/11/1923/11/19
OtherThe conference aims at bringing together the experts on data mining from around the world, and providing a leading international forum for the dissemination of original research findings in data mining, spanning applications, algorithms, software and systems, as well as different applied disciplines with potential in data mining, such as smartphone and social network mining, bio-medical science and green computing. ADMA 2019 will promote the same close interaction and collaboration among practitioners and researchers. Published papers will go through a full peer review process.
Internet address

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