96,389 research outputs found
Monitoring land use changes using geo-information : possibilities, methods and adapted techniques
Monitoring land use with geographical databases is widely used in decision-making. This report presents the possibilities, methods and adapted techniques using geo-information in monitoring land use changes. The municipality of Soest was chosen as study area and three national land use databases, viz. Top10Vector, CBS land use statistics and LGN, were used. The restrictions of geo-information for monitoring land use changes are indicated. New methods and adapted techniques improve the monitoring result considerably. Providers of geo-information, however, should coordinate on update frequencies, semantic content and spatial resolution to allow better possibilities of monitoring land use by combining data sets
Statistical strategies for pruning all the uninteresting association rules
We propose a general framework to describe formally the
problem of capturing the intensity of implication for
association rules through statistical metrics.
In this framework we present properties that influence the
interestingness of a rule, analyze the conditions that
lead a measure to perform a perfect prune at a time,
and define a final proper order to sort the surviving
rules. We will discuss why none of the currently employed
measures can capture objective interestingness, and
just the combination of some of them, in a multi-step fashion,
can be reliable. In contrast, we propose a new simple modification
of the Pearson coefficient that will meet all the necessary
requirements. We statistically infer the convenient cut-off
threshold for this new metric by empirically describing its
distribution function through simulation. Final experiments
serve to show the ability of our proposal.Postprint (published version
An information-driven framework for image mining
[Abstract]: Image mining systems that can automatically extract semantically meaningful information (knowledge) from image data are increasingly in demand. The fundamental challenge in image mining is to determine how low-level, pixel representation contained in a raw image or
image sequence can be processed to identify high-level spatial objects and relationships. To meet
this challenge, we propose an efficient information-driven framework for image mining. We distinguish four levels of information: the Pixel Level, the Object Level, the Semantic Concept Level, and the Pattern and Knowledge Level. High-dimensional indexing schemes and retrieval
techniques are also included in the framework to support the flow of information among the levels. We believe this framework represents the first step towards capturing the different levels of information present in image data and addressing the issues and challenges of discovering useful
patterns/knowledge from each level
Traceability system for capturing, processing and providing consumer-relevant information about wood products: System solution and its economic feasibility
Current research and practice reports indicate the existence of purchase barriers concerning eco-friendly products, e.g. wood products. These can be ascribed to consumers' mistrust regarding the non-observable environmental impact of wood products. To counter the mistrust, wood products are commonly endowed with eco-labels, which may be perceived mostly as a marketing tool, therefore not fulfilling their intended purpose. Current studies have shown that providing consumers with wood product information based on traceability systems increases product trust and purchase intentions, with those information items most valued by consumers being identified as well. Based on this, the paper proposes a traceability information system for the capturing, processing, and provision of product information using examples of wood furniture. Furthermore, a cost-benefit model for the proposed solution is developed. The calculations indicate the possibility of implementing traceability at the item level based on a four-layer system architecture enabling the capture and delivery of all information valued by consumers at acceptable costs. The proposed system helps to overcome purchase barriers of eco-friendly products, increasing consumers' product trust and purchase intentions
Association Rules Mining Based Clinical Observations
Healthcare institutes enrich the repository of patients' disease related
information in an increasing manner which could have been more useful by
carrying out relational analysis. Data mining algorithms are proven to be quite
useful in exploring useful correlations from larger data repositories. In this
paper we have implemented Association Rules mining based a novel idea for
finding co-occurrences of diseases carried by a patient using the healthcare
repository. We have developed a system-prototype for Clinical State Correlation
Prediction (CSCP) which extracts data from patients' healthcare database,
transforms the OLTP data into a Data Warehouse by generating association rules.
The CSCP system helps reveal relations among the diseases. The CSCP system
predicts the correlation(s) among primary disease (the disease for which the
patient visits the doctor) and secondary disease/s (which is/are other
associated disease/s carried by the same patient having the primary disease).Comment: 5 pages, MEDINFO 2010, C. Safran et al. (Eds.), IOS Pres
Crafting a Systematic Literature Review on Open-Source Platforms
This working paper unveils the crafting of a systematic literature review on
open-source platforms. The high-competitive mobile devices market, where
several players such as Apple, Google, Nokia and Microsoft run a platforms- war
with constant shifts in their technological strategies, is gaining increasing
attention from scholars. It matters, then, to review previous literature on
past platforms-wars, such as the ones from the PC and game-console industries,
and assess its implications to the current mobile devices platforms-war. The
paper starts by justifying the purpose and rationale behind this literature
review on open-source platforms. The concepts of open-source software and
computer-based platforms were then discussed both individually and in unison,
in order to clarify the core-concept of 'open-source platform' that guides this
literature review. The detailed design of the employed methodological strategy
is then presented as the central part of this paper. The paper concludes with
preliminary findings organizing previous literature on open-source platforms
for the purpose of guiding future research in this area.Comment: As presented in 10th IFIP WG 2.13 International Conference on Open
Source Systems, OSS 2014, San Jos\'e, Costa Rica, May 6-9, 201
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