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In data classification mining, the decision tree method is a key algorithm. ID3 (Iterative Dichotomiser 3) algorithm which was presented by Quinlan is a famous decision tree algorithms, but ID3 has some shortcomings such as high complex computation in computing the information entropy expression, multivalue bios problem in the process of selecting an optimal attribute, large scales, etc. In order...
Sequence pattern and sequential rule mining techniques are used in many application areas. In our research, we look at the possibility of applying these techniques to spatiotemporal data for the use case of crime data mining. For that, we design the framework that coverts data information into spatiotemporal sequences, in order to detect sequential rules. In the paper, we look at the each step of...
Recently, utilization of position information by global navigation satellite system (GNSS) is expected in various fields. However, it's difficult to show unambiguously accuracy since positioning accuracy varies by measurement environment. We bring sky view factor (SVF) to evaluation of positioning accuracy, and evaluate it positioning accuracy of long time data in the places where SVF are high or...
Our lab-based small private online course (SPOC) combined online resources and technology with engagement between faculty and students based on OpenEdX platform. It worked with an auto-grading submission system which could reduce the instructors' burden of evaluation and provide better learners' experience. Different study behaviors were observed from the system tracking logs. Identifying at-risk...
Cloud computing and cloud storage systems are being used more and more in a variety of domains, from everyday user applications like healthcare monitoring systems and intelligent buildings to military devices. The deployment of these frameworks also enables modern control and automation paradigms found in cyber-physical systems and Industry 4.0. Driven by exponential decreases in computing and storage...
Frappé is a code comprehension tool developed by Oracle Labs that extracts the code dependencies from a codebase and stores them in a graph database enabling advanced comprehension tasks. In addition to traditional text-based queries, such context-sensitive tools allow developers to express navigational queries of the form Does function X or something it calls write to global variable Y? providing...
In this paper we present our developed and evaluated method for the dynamic mapping of the vertical characteristics inside a building. For achieving that, we extract data from smart-phone sensors and use those data for altitude estimation via the barometric formula. We introduce a novel approach for the extraction of reference pressure during the outdoor-to-indoor-transition of the user inside a building,...
Online social networks (OSNs) are platforms which facilitate social interactions between their users through message exchange, photo and video sharing, status updates, etc. One of the most popular OSNs is Facebook. Connections between users on Facebook are modeled through concept of friendship. Each connection between users is binary — two users either are or aren't "friends". Information...
At present, all developed countries employing public eProcurement systems create a corpus of generic public procurement fraud schemes. A selection of attributes with fraud suspicion signs is performed. It is necessary to accomplish, first of all, because fraud in the public procurement sphere is one of the most common kinds of frauds. With a view to improve the existing anti-corruption enforcement...
Disasters, like strong earthquakes, may cause different kinds of deformation and damages to urban buildings, which makes those buildings hard to recognize and extract through traditional ways. In this paper, a novel approach has been proposed to extract buildings that may suffer with various deformation due to the damage of disasters, from large urban 3D disaster scenes. The method relies on prebuilt...
There is an increasingly pressing need, by several applications in diverse domains, for developing techniques able to index and mine very large collections of sequences, or data series. Examples of such applications come from biology, astronomy, entomology, the web, and other domains. It is not unusual for these applications to involve numbers of data series in the order of hundreds of millions to...
Building extraction from remote sensing images is a longstanding topic in land use analysis and applications of remote sensing. Variations in shape and appearance of buildings, occlusions and other unpredictable factors increase the hardness of automatic building extraction. Numerous methods have been proposed during the last several decays, but most of these works are task oriented and lack of generalization...
This paper considers techniques of aspect feature extraction and application of targets taken over one or more wide-angle apertures. Compared with traditional narrow-aperture Synthetic Aperture Radar (SAR), multi-aspect SAR can provide observation of targets in more azimuth directions. Radar backscattering is typically characterized by location and azimuth directions. Thus target anisotropic scattering...
Estimating and measuring building height has become one of the significant factors in urban planning, legal and illegal construction inspection, urban disaster warning and assessing, as well as providing initial mapping data for creating three dimensional (3D) digital city models. In this paper we examine the feasibility of extracting building height information using computer vision algorithms with...
In this paper, we propose an improved image retrieval method, dedicated to images of buildings/landmarks from urban environments. Locally detected key points are binary labelled as building or no-building using a SVM-based classifier. Thereafter, only key points labelled as building are retained. In this way, the data in the database vocabulary is reduced to only the relevant one and solely the relevant...
When individual-level health data is shared in biomedical research the privacy of patients and probands must be protected. This is typically achieved with methods of data de-identification, which transform data in such a way that formal guarantees about the degree of protection from re-identification can be provided. In the process it is important to minimize loss of information to ensure that the...
Terrestrial 3D laser scanning technology has provided a new method for obtaining the spatial information of urban buildings, because of its high accuracy and contactless model, can obtain large amount of 3D coordinates point cloud data of the target. This paper describes in detail the office and field work process and key technologies of the spatial information acquisition of urban buildings using...
This study addressed the automatic classification of Japanese manga held by public libraries. Holdings of 4,681 public libraries and similar facilities were investigated, and 29,795 manga titles were identified. Hierarchical clustering was applied to 631 titles that were each held by more than one hundred libraries. Five clusters were identified in the upper hierarchy. Principal coordinate analysis...
The precise map is the main provider of static environment information for the intelligent vehicles. Therefore, it is considered as a fundamental requirement for such systems. The accuracy of Mobile Mapping Systems (MMS), one of the main vehicle-based 3D laser scanning technologies, is significantly degraded due to the blockage of GPS signals in deep urban areas where tall buildings are surrounding...
We propose Candoia, a novel platform and ecosystemfor building and sharing Mining Software Repositories(MSR) tools. Using Candoia, MSR tools are built as apps, and Candoia ecosystem, acting as an appstore, allows effective sharing. Candoia platform provides, data extraction tools for curating custom datasets for user projects, and data abstractions for enabling uniform access to MSR artifacts from...
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