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For an effective context-aware system, <jats:italic>context pre-modeling<\/jats:italic> is considered as a key issue and task, as the representation of contextual data directly influences the predictive models. This paper mainly explores the role of major context pre-modeling tasks, such as <jats:italic>context vectorization<\/jats:italic> by defining a good numerical measure through transformation and normalization, <jats:italic>context generation and extraction<\/jats:italic> by creating new brand principal components, <jats:italic>context selection<\/jats:italic> by taking into account a subset of original contexts according to their correlations, and eventually <jats:italic>context evaluation<\/jats:italic>, to build effective context-aware predictive models utilizing multi-dimensional contextual data. For creating models, various popular <jats:italic>machine learning classification<\/jats:italic> techniques such as decision tree, random forest, k-nearest neighbor, support vector machines, naive Bayes classifier, and deep learning by constructing a neural network of multiple hidden layers, are used in our study. Based on the context pre-modeling tasks and classification methods, we experimentally analyze user-centric smartphone usage behavioral activities utilizing their contextual datasets. The effectiveness of these machine learning context-aware models is examined by considering prediction accuracy, in terms of precision, recall, f-score, and ROC values, and has been made an empirical discussion in various dimensions within the scope of our study.<\/jats:p>","DOI":"10.1186\/s40537-020-00328-3","type":"journal-article","created":{"date-parts":[[2020,7,23]],"date-time":"2020-07-23T12:03:26Z","timestamp":1595505806000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["Context pre-modeling: an empirical analysis for classification based user-centric context-aware predictive modeling"],"prefix":"10.1186","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1740-5517","authenticated-orcid":false,"given":"Iqbal H.","family":"Sarker","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hamed","family":"Alqahtani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fawaz","family":"Alsolami","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Asif Irshad","family":"Khan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yoosef B.","family":"Abushark","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mohammad Khubeb","family":"Siddiqui","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,7,23]]},"reference":[{"issue":"1","key":"328_CR1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s40537-018-0162-3","volume":"6","author":"IH Sarker","year":"2019","unstructured":"Sarker IH. 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