Advisors
Now showing items 1-20 of 23
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BELS: a broad ensemble learning system for data stream classification
(Bilkent University, 2021-12)Data stream classification has become a major research topic due to the increase in temporal data. One of the biggest hurdles of data stream classification is the development of algorithms that deal with evolving data, ... -
Bilkent News Portal : a system with new event detection and tracking capabilities
(Bilkent University, 2009)News portal services such as browsing, retrieving, and filtering have become an important research and application area as a result of information explosion on the Internet. In this work, we give implementation details ... -
Cascaded cross entropy-based search result diversification
(Bilkent University, 2012)Search engines are used to find information on the web. Retrieving relevant documents for ambiguous queries based on query-document similarity does not satisfy the users because such queries have more than one different ... -
Cluster labeling improvement by utilizing data fusion and Wikipedia
(Bilkent University, 2017-07)A cluster is a set of related documents. Cluster labeling is the process of assigning descriptive labels to clusters. This study investigates several cluster labeling approaches and presents novel methods. The rst uses ... -
A cluster-based external plagiarism and parallel corpora detection method
(Bilkent University, 2011)Today different editions and translations of the same literary text can be found. Intuitively such translations that are based on the same literary text are expected to possess significantly similar structure. In the ... -
Enhancing feature selection with contextual relatedness filtering using Wikipedia
(Bilkent University, 2017-08)Feature selection is an important component of information retrieval and natural language processing applications. It is used to extract distinguishing terms for a group of documents; such terms, for example, can be used ... -
Evolving text stream classification with a novel neural ensemble architecture
(Bilkent University, 2022-01)We study on-the-fly classification of evolving text streams in which the relation between the input data target labels changes over time—i.e. “concept drift”. These variations decrease the model’s performance, as predictions ... -
Goowe : geometrically optimum and online-weighted ensemble classifier for evolving data streams
(Bilkent University, 2016-07)Designing adaptive classifiers for an evolving data stream is a challenging task due to its size and dynamically changing nature. Combining individual classifiers in an online setting, the ensemble approach, is one of the ... -
GOOWE-ML: a novel online stacked ensemble for multi-label classification in data streams
(Bilkent University, 2019-07)As data streams become more prevalent, the necessity for online algorithms that mine this transient and dynamic data becomes clearer. Multi-label data stream classification is a supervised learning problem where each ... -
Implicit concept drift detection for multi-label data streams
(Bilkent University, 2022-01)Many real-world applications adopt multi-label data streams as the need for algo-rithms to deal with rapidly generated data increases. For such streams, changes in data distribution, also known as concept drift, cause the ... -
Lexical cohesion analysis for topic segmentation, summarization and keyphrase extraction
(Bilkent University, 2012)When we express some idea or story, it is inevitable to use words that are semantically related to each other. When this phenomena is exploited from the aspect of words in the language, it is possible to infer the level ... -
Near-duplicate news detection using named entities
(Bilkent University, 2009)The number of web documents has been increasing in an exponential manner for more than a decade. In a similar way, partially or completely duplicate documents appear frequently on the Web. Advances in the Internet ... -
A new approach to search result clustering and labeling
(Bilkent University, 2011)Search engines present query results as a long ordered list of web snippets divided into several pages. Post-processing of information retrieval results for easier access to the desired information is an important research ... -
New event detection and tracking in Turkish
(Bilkent University, 2009)The amount of information and the number of information resources on the Internet have been growing rapidly for over a decade. This is also true for on-line news and news providers. To overcome information overload news ... -
New event detection using chronological term ranking
(Bilkent University, 2009)News web pages are an important resource for news consumers since the Internet provides the most up-to-date information. However, the abundance of this information is overwhelming. In order to solve this problem, news ... -
Novelty detection in topic tracking
(Bilkent University, 2010)News portals provide many services to the news consumers such as information retrieval, personalized information filtering, summarization and news clustering. Additionally, many news portals using multiple sources enable ... -
On-line new event detection and clustering using the concepts of the cover coefficient-based clustering methodology
(Bilkent University, 2002)In this study, we use the concepts of the cover coefficient-based clustering methodology (C3 M) for on-line new event detection and event clustering. The main idea of the study is to use the seed selection process of ... -
On-the-fly ensemble classifier pruning in evolving data streams
(Bilkent University, 2019-09)Ensemble pruning is the process of selecting a subset of component classifiers from an ensemble which performs at least as well as the original ensemble while reducing storage and computational costs. Ensemble pruning ... -
Past, present, and future on news streams: discovering story chains, selecting public front-pages, and filtering microblogs for predicting public reactions to news
(Bilkent University, 2017-09)News streams have several research opportunities for the past, present, and future of events. The past hides relations among events and actors; the present re ects needs of news readers; and the future waits to be ... -
A template-independent content extraction approach for new web pages
(Bilkent University, 2012)News web pages contain additional elements such as advertisements, hyperlinks, and reader comments. These elements make the extraction of news contents a challenging task. Current news content extraction (NCE) methods ...
