12,078 research outputs found
Anytime Hierarchical Clustering
We propose a new anytime hierarchical clustering method that iteratively
transforms an arbitrary initial hierarchy on the configuration of measurements
along a sequence of trees we prove for a fixed data set must terminate in a
chain of nested partitions that satisfies a natural homogeneity requirement.
Each recursive step re-edits the tree so as to improve a local measure of
cluster homogeneity that is compatible with a number of commonly used (e.g.,
single, average, complete) linkage functions. As an alternative to the standard
batch algorithms, we present numerical evidence to suggest that appropriate
adaptations of this method can yield decentralized, scalable algorithms
suitable for distributed/parallel computation of clustering hierarchies and
online tracking of clustering trees applicable to large, dynamically changing
databases and anomaly detection.Comment: 13 pages, 6 figures, 5 tables, in preparation for submission to a
conferenc
Towards an integrated perspective on fleet asset management: engineering and governance considerations
The traditional engineering perspective on asset management concentrates on the operational performance the assets. This perspective aims at managing assets through their life-cycle, from technical specification, to acquisition, operation including maintenance, and disposal. However, the engineering perspective often takes for granted organizational-level factors. For example, a focus on performance at the asset level may lead to ignore performance measures at the business unit level. The governance perspective on asset management usually concentrates on organizational factors, and measures performance in financial terms. In doing so, the governance perspective tends to ignore the engineering considerations required for optimal asset performance. These two perspectives often take each other for granted. However experience demonstrates that an exclusive focus on one or the other may lead to sub-optimal performance. For example, the two perspectives have different time frames: engineering considers the long term asset life-cycle whereas the organizational time frame is based on a yearly financial calendar. Asset fleets provide a relevant and important context to investigate the interaction between engineering and governance views on asset management as fleets have distributed system characteristics. In this project we investigate how engineering and governance perspectives can be reconciled and integrated to enable optimal asset and organizational performance in the context of asset fleets
AAPOR Report on Big Data
In recent years we have seen an increase in the amount of statistics in society describing different phenomena based on so called Big Data. The term Big Data is used for a variety of data as explained in the report, many of them characterized not just by their large volume, but also by their variety and velocity, the organic way in which they are created, and the new types of processes needed to analyze them and make inference from them. The change in the nature of the new types of data, their availability, the way in which they are collected, and disseminated are fundamental. The change constitutes a paradigm shift for survey research.There is a great potential in Big Data but there are some fundamental challenges that have to be resolved before its full potential can be realized. In this report we give examples of different types of Big Data and their potential for survey research. We also describe the Big Data process and discuss its main challenges
UTP ALUMNI WEB PORTAL
The alumni web portal is develop in order to give the opportunity for the alumni
to communicate with each other much more easily. However, that is not the only things it
can do. The portal will also create more opportunity in knowledge gaining, career
opportunity and this portal open more communication network within the boundaries.
The literature review indicates analysis and result based on three main issues that
is the definition for the project, the industrial point of view and the review from the past
project. These analyses help to provide more idea and knowledge to ensure the project
will be better within its usability and functionality.
Waterfall Model had been chose as the method in developing the portal. This is
because the method is easy to understand and globally use by the professional in
developing a project. Factsfinding will also be constructed as information is the greatest
resources and this will help when analysis and comparison is being conducted.
For the basic findings, based on the analysis that had been done, normal features
or functionality that is usually use is being identified. From the analysis based on the
journal and the web portal itself, a few elements will be prioritized in order to
differentiate the project better than any other current website.
Hopefully, the project will be a good prospect for the institution and hopefully the
alumni can make a full use of the project when it is done
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