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| 1 | Clustering Structure Analysis in Time-Series Data With Density-Based Clusterability Measure显示文摘Clustering is used to gain an intuition of the struc tures in the data.Most of the current clustering algorithms pro duce a clustering structure even on data that do not possess such structure.In these cases,the algorithms force a structure in the data instead of discovering one.To avoid false structures in the relations of data,a novel clusterability assessment method called density-based clusterability measure is proposed in this paper.I measures the prominence of clustering structure in the data to evaluate whether a cluster analysis could produce a meaningfu insight to the relationships in the data.This is especially useful in time-series data since visualizing the structure in time-series data is hard.The performance of the clusterability measure is evalu ated against several synthetic data sets and time-series data sets which illustrate that the density-based clusterability measure can successfully indicate clustering structure of time-series data. | Juho Jokinen Tomi Raty Timo Lintonen | 2019 | IEEE/CAA Journal of Automatica Sinica2019，6，6： | 6 |
| 2 | Self-Learning of Multivariate Time Series Using Perceptually Important Points显示文摘In machine learning,positive-unlabelled(PU)learning is a special case within semi-supervised learning.In positiveunlabelled learning,the training set contains some positive examples and a set of unlabelled examples from both the positive and negative classes.Positive-unlabelled learning has gained attention in many domains,especially in time-series data,in which the obtainment of labelled data is challenging.Examples which originate from the negative class are especially difficult to acquire.Self-learning is a semi-supervised method capable of PU learning in time-series data.In the self-learning approach,observations are individually added from the unlabelled data into the positive class until a stopping criterion is reached.The model is retrained after each addition with the existent labels.The main problem in self-learning is to know when to stop the learning.There are multiple,different stopping criteria in the literature,but they tend to be inaccurate or challenging to apply.This publication proposes a novel stopping criterion,which is called Peak evaluation using perceptually important points,to address this problem for time-series data.Peak evaluation using perceptually important points is exceptional,as it does not have tunable hyperparameters,which makes it easily applicable to an unsupervised setting.Simultaneously,it is flexible as it does not make any assumptions on the balance of the dataset between the positive and the negative class. | Timo Lintonen Tomi Raty | 2019 | IEEE/CAA Journal of Automatica Sinica2019，6，6： | 2 |
| 3 | Factor structure of the School Well-being Model显示文摘 | Konu A Alanen E Lintonen T | | 0，，06： | 1 |
| 4 | Drugs foresight 2020: a Delphi expert panel study 显示文摘 | Lintonen T Konu A Ronka S | 2014 | Substance Abuse Treatment Pre- vention and Policy2014，，9： | 1 |
| 5 | Factors associated with schoolchildren, s general subjective wen- being显示文摘 | Konu AI Lintonen TP Rimpela MK | 2002 | Health Educ Res2002，，2： | 1 |
| 6 | Information technology in health promotion 显示文摘 | Lintonen'TP Konu AI Seedhouse D | 2008 | Health Educ Res ( S0268 - 1153 )2008，23，3： | 1 |
| 7 | Factors Associated with显示文摘 | Konu A I Lintonen T P Rimpela M K | 2002 | Heaith Educa-[ / tion Research2002，17，2： | 1 |
| 8 | Internet addiction? Potentially problematic use of the internet in a population of 12-18 year-old adolescents 显示文摘 | Riittakerttu Kaltiala-Heino Tomi Lintonen Arja R | 2004 | Addiction Research and Theory2004，12，： | 1 |
| 9 | Trends in driving under the influence of drugs: a register - based study of DUID suspects during 1977 -2007显示文摘 | Ojaniemi KK Lintonen TP Impinen AO | 2009 | Accid Anal Prev2009，41，1： | 1 |
| 10 | Internet addiction?Potentially problematic use of the Internet in a population of 12-18year-old adolescents显示文摘 | Kaltiala-Heino R Lintonen T Rimpela A | 2004 | Addiction Research&Theory2004，12，1： | 1 |
| 11 | Factors associated with schoolchildren's general subjective well-being显示文摘 | Konu A I Lintonen T P Rimpela M K | 2002 | Health Education Research2002，17，2： | 1 |
| 12 | The misperceived social norm of drunkenness among early adolescents in Finland显示文摘 | Lintonen T P Konu A I | 2004 | Health education research2004，19，1： | 1 |
| 13 | Factors associated with schoolchildren' s general subjective well-being显示文摘 | Konu Al Lintonen TP Rimpela MK | 2002 | Health Educ Res2002，17，2： | 1 |
| 14 | Trends in Driving Under the Influence of Drugs:a Register-Based Study of DUID Suspects During 1977-2007显示文摘 | OJANIEMI K K LINTONEN T P IMPINEN A O | 2009 | Accident Analysis & Prevention2009，41，1： | 1 |
| 15 | Trends in driving under the influence of drugs: A register-based study of DUm suspects during 1977 -2007 显示文摘 | OJANIEMI K K LINTONEN T P IMPINEN A 0 | 2009 | Accid Anal Prevent2009，41，1： | 1 |
| 16 | Use of Information and Communication Technology and Prevalence of Overweight and Obesity among Adolescents 显示文摘 | KAUTIAINEN S KOIVUSILTA L LINTONEN T | 2005 | International Journal of Obesity2005，29，8： | 1 |
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