Mining Heterogeneous Multivariate Time-Series for Learning Meaningful Patterns: Application to Home Health Telecare

For the last years, time-series mining has become a challenging issue for researchers. An important application lies in most monitoring purposes, which require analyzing large sets of time-series for learning usual patterns. Any deviation from this learned profile is then considered as an unexpected situation. Moreover, complex applications may involve the temporal study of several heterogeneous parameters. In that paper, we propose a method for mining heterogeneous multivariate time-series for learning meaningful patterns. The proposed approach allows for mixed time-series -- containing both pattern and non-pattern data -- such as for imprecise matches, outliers, stretching and global translating of patterns instances in time. We present the early results of our approach in the context of monitoring the health status of a person at home. The purpose is to build a behavioral profile of a person by analyzing the time variations of several quantitative or qualitative parameters recorded through a provision of sensors installed in the home

A data cube model for analysis of high volumes of ambient data

Ambient systems generate large volumes of data for many of their application areas with XML often the format for data exchange. As a result, large scale ambient systems such as smart cities require some form of optimization before different components can merge their data streams. In data warehousing, the cube structure is often used for optimizing the analytics process with more recent structures such as dwarf, providing new orders of magnitude in terms of optimizing data extraction. However, these systems were developed for relational data and as a result, we now present the development of an XML dwarf to manage ambient systems generating XML data

Knowledge Discovery in the SCADA Databases Used for the Municipal Power Supply System

This scientific paper delves into the problems related to the develop-ment of intellectual data analysis system that could support decision making to manage municipal power supply services. The management problems of mu-nicipal power supply system have been specified taking into consideration modern tendencies shown by new technologies that allow for an increase in the energy efficiency. The analysis findings of the system problems related to the integrated computer-aided control of the power supply for the city have been given. The consideration was given to the hierarchy-level management decom-position model. The objective task targeted at an increase in the energy effi-ciency to minimize expenditures and energy losses during the generation and transportation of energy carriers to the Consumer, the optimization of power consumption at the prescribed level of the reliability of pipelines and networks and the satisfaction of Consumers has been defined. To optimize the support of the decision making a new approach to the monitoring of engineering systems and technological processes related to the energy consumption and transporta-tion using the technologies of geospatial analysis and Knowledge Discovery in databases (KDD) has been proposed. The data acquisition for analytical prob-lems is realized in the wireless heterogeneous medium, which includes soft-touch VPN segments of ZigBee technology realizing the 6LoWPAN standard over the IEEE 802.15.4 standard and also the segments of the networks of cellu-lar communications. JBoss Application Server is used as a server-based plat-form for the operation of the tools used for the retrieval of data collected from sensor nodes, PLC and energy consumption record devices. The KDD tools are developed using Java Enterprise Edition platform and Spring and ORM Hiber-nate technologies

Market Discipline, Information Processing, and Corporate Governance

The paper reviews and assesses our understanding of the notion of “market discipline” in corporate governance. It questions the wholesale appeal to this notion in policy discussion, which fails to provide an account of the underlying mechanisms in terms of theory and empirical analysis. Discipline that is provided by the “market” must be compared to discipline that is provided by other institutions, e.g., intermediaries acting as “delegated monitors”. The comparative assessment depends on (i) the information technology, (ii) the role of strategic interactions, and (iii) the disciplinary mechanism itself. Concerning (i), the question is whether the benefits of multiple sources of information exceed the costs. Concerning (ii), strategic interactions concern the free-rider problem in acquiring information that benefits all financiers, as well as distributive externalities involved in exploiting an information advantage to the detriment of other financiers. Concerning (iii), the question is whether investors have explicit intervention rights or whether “discipline” results from managerial acquiescence. As for the acquisition and aggregation of information in organized markets, positive welfare effects arise only if the information is put to productive use, either through improvements in real investment and managerial incentives, or through changes in corporate control. Necessary conditions for such benefits to arise are fairly restrictive, especially if the changes that occur are based on managerial acquiescence rather than the legal intervention rights of investors. The expansion of market-based managerial incentives in the nineties had little to do with these theoretical accounts. The experience of moral hazard that has accompanied this expansion, on the side of gate-keeping institutions as well as corporate management, confirms the predictions of theory about the potential for shortfalls in market discipline and the agency costs of equity finance through the open market

Comparative Analysis and Evaluation of Existing Risk Management Software

The focus of this article lies on the specific features of the existing software packages for risk management differentiating three categories. Representative for these categories we consider the Crystal Ball, Haufe Risikomanager and MIS - Risk Management solutions, outlining the strenghts and weaknesses in a comparative analysis.business intelligence, software packages , risk management, Crystal Ball, Haufe Risikomanager, MIS - Risk Management.