Interactive Data Visualization using Mondrian

This paper presents the Mondrian data visualization software. In addition to standard plots like histograms, barcharts, scatterplots or maps, Mondrian offers advanced plots for high dimensional categorical (mosaic plots) and continuous data (parallel coordinates). All plots are linked and offer various interaction techniques. A special focus is on the seamless integration of categorical data. Unique is Mondrian's special selection technique, which allows advanced selections in complex data sets. Besides loading data from local (ASCII) files it can connect to databases, avoiding a local copy of the data on the client machine. Mondrian is written in 100% pure JAVA.

Exploratory Graphics of a Financial Dataset

company rating, default probability, support vector machines, colour coding

Graphics for uncertainty

Graphical methods such as colour shading and animation, which are widely available, can be very effective in communicating uncertainty. In particular, the idea of a ‘density strip’ provides a conceptually simple representation of a distribution and this is explored in a variety of settings, including a comparison of means, regression and models for contingency tables. Animation is also a very useful device for exploring uncertainty and this is explored particularly in the context of flexible models, expressed in curves and surfaces whose structure is of particular interest. Animation can further provide a helpful mechanism for exploring data in several dimensions. This is explored in the simple but very important setting of spatiotemporal data

Visual analysis of social networks in space and time using smartphone logs

We designed and applied novel interactive visualisation to investigate how social networks - derived from smartphone logs - are embedded in time and space. Social networks were identified through direct calls between participants and calls to mutual contacts of participants. Direct contact between participants was sparse and deriving networks through mutual contacts helped enrich the social networks. Our resulting interactive visualisation tool offers four linked and co-ordinated views of spatial, temporal, individual and social network aspects of the data. Brushing and altering techniques help us investigate how these aspects relate. We also simultaneously display some demographic and attitudinal variables to help add context to the behaviours we observe. Using these techniques, we were able to characterise spatial and temporal aspects of participants' social networks and suggest explanations for some of them. We reflect on the extent to which such analysis helps us understand social communication behaviour

A Machine-Synesthetic Approach To DDoS Network Attack Detection

In the authors' opinion, anomaly detection systems, or ADS, seem to be the most perspective direction in the subject of attack detection, because these systems can detect, among others, the unknown (zero-day) attacks. To detect anomalies, the authors propose to use machine synesthesia. In this case, machine synesthesia is understood as an interface that allows using image classification algorithms in the problem of detecting network anomalies, making it possible to use non-specialized image detection methods that have recently been widely and actively developed. The proposed approach is that the network traffic data is "projected" into the image. It can be seen from the experimental results that the proposed method for detecting anomalies shows high results in the detection of attacks. On a large sample, the value of the complex efficiency indicator reaches 97%.Comment: 12 pages, 2 figures, 5 tables. Accepted to the Intelligent Systems Conference (IntelliSys) 201

Blood pressure target attainment in the background of guidelines: the very elderly in Swiss primary care

Background There are only a few trials for the very elderly population (>79 years). No consensus, which blood pressure (BP) goals and substances should be applied, has been found yet. This survey was undertaken to investigate how octogenarians are treated and attain BP targets in the Swiss primary care. Methods Data from 4594 hypertensive patients were collected within 7 days. Eight hundred and seventy-seven patients met the requirement to be >79 years. We assessed substances/combinations and investigated pulse pressure and target blood pressure attainment (TBPA) using three different recommendations [Canadian Hypertension Education Program (CHEP), Swiss Society of Hypertension (SSH), European Society of Hypertension-European Society of Cardiology (ESH-ESC)]. Secondarily, we compared TBPA attained by angiotensin-converting enzyme inhibitor (ACEI)/diuretic (D), angiotensin receptor blocker (ARB)/D and calcium channel blocker (CCB)/D with any other dual therapy and investigated whether Ds/beta-blockers (BBs) or Ds/renin angiotensin-converting enzyme inhibitors (RAAS-Is) lead to higher TBPA. Finally, we assessed the impact of drug administration, practical work experience, location and specialization of GPs on TBPA. Results Octogenarians attained target blood pressure (TBP) between 44% (ESH-ESC) and 74% (SSH). Optimal/normal BP was reached in 22.8% of patients. Pulse pressure <65 mmHg was shown in 66.4% of patients. Monotherapy was most commonly applied followed by dual single-pill combination with ARB/D (46.5%) or ACEI/D (36.0%). No benefit in TBPA was found comparing a RAASI/D and CCB/D treatment with any other dual combination. There was also no difference between BB/D and RAAS-I/D combination therapy and between single-pill combination and dual free combinations. Conclusions GPs adhere to the use of substances proven in outcome trials and attain high TBP. No difference in meeting BP goals could be found using different drug classes. There is an unmet need to harmonize recommendations and to add additional information for the treatment of octogenarian