Dawid Weiss

Poznań University of Technology

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Stanisław Osiński

Poznan Supercomputing and Networking Center

Jerzy Stefanowski

Poznań University of Technology

Jakub Piskorski

Polish Academy of Sciences

Marcin Sydow

Polish-Japanese Academy of Information Technology

Wojtek Michalowski

University of Ottawa

Castillo Carlos

Universidad Centroccidental Lisandro Alvarado

Szymon Wilk

Poznań University of Technology

Ken Farion

Children's Hospital of Eastern Ontario

Marcin Zduniak

Poznań University of Technology

Dympna O’Sullivan

Technological University Dublin

Cooperative Institutions

Poznań University of Technology

University of Ottawa

Children's Hospital of Eastern Ontario

City, University of London

Wilfrid Laurier University

Institute of Computer Science

Polish Academy of Sciences

Alberta Children's Hospital

Fondazione "Ugo Bordoni"

Poznan Supercomputing and Networking Center

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Modeling the frequency of phrasal verbs with search engines

Proceedings of the International Multiconference on Computer Science and Information Technology (2008)

Grazyna Chamielec Dawid Weiss

There are well over a thousand phrasal verbs in English. For non-native speakers they are notoriously difficult to remember and use in the right context. We tried to construct a ranking of phrasal verbs according to their estimated occurrence frequency, based on quantitative information available from the public indexable Web. Technically, we used major Web search engines to acquire phrase-occurrence statistics, measured consistency between the rankings implied by their results and confirmed that a rough set of 'classes' of phrasal verbs can be distinguished. While this technique relies on inaccurate and possibly biased estimation functions, we show that the overall distribution of ranks seems to be consistent among all the queried search engines operated by different vendors.

10.1109/imcsit.2008.4747269

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Citations (3)

Lingo: Search Results Clustering Algorithm Based on Singular Value Decomposition

Springer eBooks (2004)

Stanisław Osiński Jerzy Stefanowski Dawid Weiss

Phrase

10.1007/978-3-540-39985-8_37

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Citations (284)

Introduction to Search Results Clustering

Dawid Weiss

Source

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Citations (3)

Comprehensible and accurate cluster labels in text clustering

Jerzy Stefanowski Dawid Weiss

The purpose of text clustering in information retrieval is to discover groups of semantically related documents. Accurate and comprehensible cluster descriptions (labels) let the user comprehend the collection's content faster and are essential for various document browsing interfaces. The task of creating descriptive, sensible cluster labels is difficult---typical text clustering algorithms focus on optimizing proximity between documents inside a cluster and rely on keyword representation for describing discovered clusters. In the approach called Description Comes First (DCF) cluster labels are as important as document groups---DCF promotes machine discovery of comprehensible candidate cluster labels later used to discover related document groups. In this paper we describe an application of DCF to the k-Means algorithm, including results of experiments performed on the 20-newsgroups document collection. Experimental evaluation showed that DCF does not decrease the metrics used to assess the quality of document assignment and offers good cluster labels in return. The algorithm utilizes search engine's data structures directly to scale to large document collections.

Document Clustering

Representation

10.5555/1931390.1931410

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Citations (11)

Automated Integration Tests for Mobile Applications in Java 2 Micro Edition

Business information systems (2007)

Dawid Weiss Marcin Zduniak

Applications written for mobile devices have become more and more complex, adjusting to the constantly improving computational power of hardware. With the growing application size comes the need for automated testing frameworks, particularly frameworks for automated testing of user interaction and graphical user interface. While such testing (also called capture-replay) has been thoroughly discussed in literature with respect to desktop applications, mobile development limits the possibilities significantly. To our best knowledge only a few solutions for creating automated tests of mobile applications exist and their functionality is very limited in general or constrained to only proprietary devices. In this paper we demonstrate preliminary results of our attempt to design and implement a framework for capturing and replaying user interaction in applications written for the Java 2 Micro Edition environment. Our evaluation test bed is a complex commercial mobile navigation system and the outcomes so far are very promising.

Graphical user interface

Interface (matter)

10.1007/978-3-540-72035-5_37

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Citations (12)

Extending k-means with the description comes first approach

Control and Cybernetics (2007)

Jerzy Stefanowski Dawid Weiss

Source

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Citations (2)

A Large Crawl and Quantitative Analysis of Open Source Projects Hosted on SourceForge

Dawid Weiss

The subject of this work is to demonstrate how some very interesting statistics of open source projects hosted on SourceForge can be retrieved effortlessly and at low-cost. This crawled information later constitutes an ideal input for quantitative analysis of the open source movement in general. We present the full process of our experiment from crawling the data to performing the analysis. This work was started when no such information existed in literature. While performing the crawl, we found out about another project of similar nature, OssMole [2]. We provide the results of this experiment nonetheless because the two projects use different strategies for crawling data. Using OssMole’s data also lets us make some interesting cross-comparisons and derive conclusions about temporal changes going on at SourceForge. 15/01/05, 01:13 , CVS ID: Id: large-crawl-of-sourceforge.tex,v 1.2 2005/01/13 22:27:52 dweiss Exp

Crawling

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Citations (23)

Clinical Decision Support System for Point of Care Use

Methods of Information in Medicine (2009)

Ken Farion Wojtek Michalowski Dympna O’Sullivan S. Rubin Dawid Weiss

Summary Objectives: The objective of this research was to design a clinical decision support system (CDSS) that supports heterogeneous clinical decision problems and runs on multiple computing platforms. Meeting this objective required a novel design to create an extendable and easy to maintain clinical CDSS for point of care support. The proposed solution was evaluated in a proof of concept implementation. Methods: Based on our earlier research with the design of a mobile CDSS for emergency triage we used ontology-driven design to represent essential components of a CDSS. Models of clinical decision problems were derived from the ontology and they were processed into executable applications during runtime. This allowed scaling applications’ functionality to the capabilities of computing platforms. A prototype of the system was implemented using the extended client-server architecture and Web services to distribute the functions of the system and to make it operational in limited connectivity conditions. Results: The proposed design provided a common framework that facilitated development of diversified clinical applications running seamlessly on a variety of computing platforms. It was prototyped for two clinical decision problems and settings (triage of acute pain in the emergency department and postoperative management of radical pros-tatectomy on the hospital ward) and implemented on two computing platforms – desktop and handheld computers. Conclusions: The requirement of the CDSS heterogeneity was satisfied with ontology-driven design. Processing of application models described with the help of ontological models allowed having a complex system running on multiple computing platforms with different capabilities. Finally, separation of models and runtime components contributed to improved extensibility and maintainability of the system.

Triage

Executable

Point of care

10.3414/me0574

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Citations (33)

Carrot2 and Language Properties in Web Search Results Clustering

Springer eBooks (2007)

Jerzy Stefanowski Dawid Weiss

Brown clustering

Web crawler

10.1007/3-540-44831-4_25

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Citations (91)

Measuring success of open source projects using web search engines

Dawid Weiss

What makes an open source project successful? In this paper we show that the traditional factors of success of open source projects, such as number of downloads, deployments or commits are sometimes inconvenient or even insufficient. We then correlate success of an open source project with its popularity on the Web. We show several ideas of how such popularity could be measured using Web search engines and provide experimental results from quantitative analysis of the proposed measures on representative large samples of open source projects from SourceForge.

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Citations (45)