43 search results for 'graduates'

Niels Visser graduates on automated web harvesting

Fully automated web harvesting using a combination of new and existing heuristics by Niels Visser Several techniques exist for extracting useful content from web pages. However, the definition of ‘useful’ is very broad and context dependant. In this research, several techniques – existing ones and new ones – are evaluated and combined in order to extract object data in a fully automatic [...]
Wednesday, December 16th, 2015. Posted in Deep Web

Niek Tax runner-up in Ngi-NGN thesis awards

Niek Tax was awarded today for his master thesis Scaling Learning to Rank to Big Data: Using MapReduce to Parallelise Learning to Rank by the Dutch association for ICT professionals and managers (Nederlandse beroepsvereniging van en voor ICT-professionals en -managers, Ngi-NGN). More information at Ngi-NGN and UT Nieuws. Congratulations, Niek!
Monday, November 30th, 2015. Posted in Photos, Machine Learning

Maurice Bolhuis graduates on Estimating Creditworthiness using Uncertain Online Data

Estimating Creditworthiness using Uncertain Online Data by Maurice Bolhuis The rules for credit lenders have become stricter since the financial crisis of 2007-2008. As a consequence, it has become more difficult for companies to obtain a loan. Many people and companies leave a trail of information about themselves on the Internet. Searching and extracting this information is accompanied with uncertainty. [...]
Thursday, October 15th, 2015. Posted in Social Data, Data Science

Anne van de Venis graduates on Recommendations using DBpedia

Recommendations using DBpedia: How your Facebook profile can be used to find your next greeting card by Anne van de Venis Recommender systems (RS) are systems that provide suggestions that users may find interesting. In this thesis we present our Interest-Based Recommender System (IBRS) that can recommend tagged item sets from any domain. This RS is validated with [...]
Wednesday, August 26th, 2015. Posted in Social Data

Han van der Veen graduates on composing a more complete and relevant Twitter dataset

Composing a more complete and relevant Twitter dataset by Han van der Veen Social data is widely used by many researchers. Facebook, Twitter and other social networks are producing huge amounts of social data. This social data can be used for analyzing human behavior. Social datasets are typically created by a hashtag, however not all relevant data includes the hashtag. [...]
Tuesday, August 18th, 2015. Posted in Social Data, DataGrant

Vincent van Donselaar graduates on database synchronization

Low latency asynchronous database synchronization and data transformation using the replication log by Vincent van Donselaar Analytics firm Distimo offers a web based product that allows mobile app developers to track the performance of their apps across all major app stores. The Distimo backend system uses web scraping techniques to retrieve the market data which is stored in the [...]
Monday, August 17th, 2015. Posted in Uncategorized

Mike Kolkman graduates on cross-domain geocoding

Cross-domain textual geocoding: influence of domain-specific training data by Mike Kolkman Modern technology is more and more able to understand natural language. To do so, unstructured texts need to be analysed and structured. One such structuring method is geocoding, which is aimed at recognizing and disambiguating references to geographical locations in text. These locations can be countries and cities, but [...]
Thursday, July 2nd, 2015. Posted in Social Data, Machine Learning

Sebastiaan Vercammen graduates on displaying intermediate results for on-going searches

by Sebastiaan Vercammen Distributed search introduces problems with resources that require time to process queries and produce results, and users waiting to get an answer to their query. The system could wait a maximum amount of time for every resource to produce its results or start displaying results the very moment they are retrieved by the distributed search [...]
Wednesday, December 17th, 2014. Posted in Distributed Search

Andres Marenco graduates on federated search

Federated Aggregated Search by Andrés Marenco Zúñiga The traditional search engine paradigm has changed from retrieving simple text documents, to selecting a broader combination of diverse document types (i.e. images, videos, maps…) that could satisfy the user’s information need. Each type of document, stored in specialized databases known as ‘verticals’, and found in either local or federated locations, is [...]
Friday, December 12th, 2014. Posted in Distributed Search

Niek Tax graduates on scaling learning to rank to big data

Scaling Learning to Rank to Big Data: Using MapReduce to Parallelise Learning to Rank by Niek Tax Learning to rank is an increasingly important task within the scientific fields of machine learning and information retrieval, that comprises the use of machine learning for the ranking task. New learning to rank methods are generally evaluated in terms of ranking accuracy [...]
Tuesday, November 25th, 2014. Posted in Photos, Course Big Data, Machine Learning