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1 - 10 of 68
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Machine learning for data streams: with practical examples in MOA
Bifet A., Gavaldà R., Holmes G., Pfahringer B., The MIT Press, Cambridge, MA, 2017. 288 pp. Type: Book (978-0-262037-79-2)
Data streams are everywhere. Sensors, people, and several applications continuously produce data streams, that is, related data items in temporal order, like the ones in financial markets or social media. They are also referred to as b...
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Dec 13 2018 |
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Surveying stylometry techniques and applications
Neal T., Sundararajan K., Fatima A., Yan Y., Xiang Y., Woodard D. ACM Computing Surveys 50(6): 1-36, 2018. Type: Article
Stylometry is analysis of textual data to find hidden patterns. This paper provides a comprehensive survey on this topic....
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Apr 19 2018 |
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 A survey on data preprocessing for data stream mining
Ramírez-Gallego S., Krawczyk B., García S., Woźniak M., Herrera F. Neurocomputing 239 39-57, 2017. Type: Article
Data stream mining has become an important phenomenon with new technologies ranging from patient tracking to stock market investing. Data streams contain data items in temporal order and are potentially endless. Efficient and effective...
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Dec 28 2017 |
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A survey on ensemble learning for data stream classification
Gomes H., Barddal J., Enembreck F., Bifet A. ACM Computing Surveys 50(2): 1-36, 2017. Type: Article
The automation of several processes, such as business transactions, smartphones, and various types of sensors, has severely increased the number of data stream generators. In data stream classification, data items are represented by a ...
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Jun 16 2017 |
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Characterizing concept drift
Webb G., Hyde R., Cao H., Nguyen H., Petitjean F. Data Mining and Knowledge Discovery 30(4): 964-994, 2016. Type: Article
In data streams, such as stock market transactions, concept drift occurs when the relationship between the input data and target variable changes. For its different categories, the reader may refer to [1]. This papers aims to provide a...
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May 10 2017 |
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Focused crawling for the hidden web
Liakos P., Ntoulas A., Labrinidis A., Delis A. World Wide Web 19(4): 605-631, 2016. Type: Article
The hidden web, or the deep web, is defined as the part of web documents whose content can only be accessed by submitting queries to websites and that cannot be indexed by traditional search engines. Some good examples are e-commerce a...
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Oct 11 2016 |
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Recommender systems in e-learning environments: a survey of the state-of-the-art and possible extensions
Klašnja-Milićević A., Ivanović M., Nanopoulos A. Artificial Intelligence Review 44(4): 571-604, 2015. Type: Article
In this paper, the authors aim to provide a systematic survey of recommender systems in e-learning environments. They cite more than 150 papers published between the years 2001 and 2015....
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Feb 11 2016 |
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Deep dependency substructure-based learning for multidocument summarization
Yan S., Wan X. ACM Transactions on Information Systems 34(1): 1-24, 2015. Type: Article
Summarization aims to make the information content of a document efficiently accessible. In extractive summarization, sentences of a document are ranked by their importance and top-scoring sentences are selected according to a given su...
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Sep 28 2015 |
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Disconnected: youth, new media, and the ethics gap
James C., The MIT Press, Cambridge, MA, 2014. 208 pp. Type: Book (978-0-262028-06-6), Reviews: (2 of 2)
This book is organized along three lines: privacy, property, and participation in the digital age, both from a moral and an ethical point of view. The arguments are based on research that uses qualitative data collected from extensive ...
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Mar 16 2015 |
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Document clustering method using dimension reduction and support vector clustering to overcome sparseness
Jun S., Park S., Jang D. Expert Systems with Applications: An International Journal 41(7): 3204-3212, 2014. Type: Article
In this paper, the authors aim to address three problems associated with document clustering: determining the number of clusters, structuring the collection description matrix into a form suitable for statistical analysis, and overcomi...
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Sep 19 2014 |
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