Search results for "Information System"

An inductive learning perspective on automated generation of feature models from given product specifications

2018

For explicit representation of commonality and variability of a product line, a feature model is mostly used. An open question is how a feature model can be inductively learned in an automated way from a limited number of given product specifications in terms of features.We propose to address this problem through machine learning, more precisely inductive generalization from examples. However, no counter-examples are assumed to exist. Basically, a feature model needs to be complete with respect to all the given example specifications. First results indicate the feasibility of this approach, even for generating hierarchies, but many open challenges remain.

Product Lifecycle Management and the Industry of the Future

2017

Sensitivity analysis of efficiency and Malmquist productivity indices: An application to Spanish savings banks

2008

Hypothesis testing and statistical precision in the context of non-parametric efficiency and productivity measurement have been investigated since the early 1990s. Recent contributions focus on this matter through the use of resampling methods-i.e., bootstrapping techniques. However, empirical evidence is still practically non-existent. This gap is more noticeable in the case of banking efficiency studies, where the literature is immense. In this work, we explore productivity growth and productive efficiency for Spanish savings banks over the (initial) post-deregulation period 1992-1998 using Data Envelopment Analysis (DEA) and bootstrapping techniques. Results show that productivity growth…

Innovative IC framework in the non profit sector

2012

The importance of intellectual capital in the non-profit sector generates the need to measure its role in the value creation process. The purpose of the paper is to study the application of intellectual capital within the non-profit sector, by turning attention to resources such as: knowledge, experience, and skills. Organizations, which are able to increase the knowledge of their staff and transform this knowledge into skills to improve services, can easily meet users’ needs and, thereby, become competitive. This contribution proposes to study how people’s knowledge can contribute to increasing social value, which is the non–profit organization’s aim. Furthermore, the goal is to de…

An adaptive approach to learning the preferences of users in a social network using weak estimators

2012

Published version of an article in the journal: Journal of Information Processing Systems. Also available from the publisher at: http://dx.doi.org/10.3745/JIPS.2012.8.2.191 - Open Access Since a social network by definition is so diverse, the problem of estimating the preferences of its users is becoming increasingly essential for personalized applications, which range from service recommender systems to the targeted advertising of services. However, unlike traditional estimation problems where the underlying target distribution is stationary; estimating a user's interests typically involves non-stationary distributions. The consequent time varying nature of the distribution to be tracked i…

XML Integration and Toolkit for B2B Applications

2003

This paper presents a Web-based data integration methodology and tool framework, called X-TIME, for the development of business-to-business (B2B) design environments and applications. X-TIME provides a data model translator toolkit based on an extensible metamodel and XML. It allows the creation of adaptable semantics oriented metamodels to facilitate the design of wrappers or reconciliators (mediators) by taking into account several characteristics of interoperable information systems such as extensibility and composability. X-TIME defines a set of meta-types for representing meta-level semantic descriptors of data models found in the Web. The meta-types are organized in a generalization h…

LATEST DEVELOPMENTS IN LOCAL GOVERNMENT ACCOUNTING IN SPAIN

1996

This paper provides an analysis of the present situation concerning local government accounting in Spain following recent reforms introduced in the early nineties. It presents a picture of the main features of Spanish local finance—budgeting and accounting, the measurement focus, and the basis of accounting—and analyses the financial reporting system adopted by Spanish municipalities. This is followed by a critical review of several weak points in the reform which in the author's view will encourage further developments.

Investigating the causal mechanisms underlying the customization of software development methods

2017

Over the last four decades, software development has been one of the mainstream topics in the Software Engineering and Information Systems disciplines. Thousands of methods have been put forward offering prescriptions for software development processes. The goal of these methods is to produce high-quality software in a systematic manner. However, it is widely known that these methods are rarely followed as prescribed – developers often modify or skip different steps, practices, or quality rules recommended by software development methods. While a group of previous studies suggests that maximizing the flexibility and leanness of software development processes is the key driver of such custom…

Disentangling the complexity of low complexity proteins

2020

Abstract There are multiple definitions for low complexity regions (LCRs) in protein sequences, with all of them broadly considering LCRs as regions with fewer amino acid types compared to an average composition. Following this view, LCRs can also be defined as regions showing composition bias. In this critical review, we focus on the definition of sequence complexity of LCRs and their connection with structure. We present statistics and methodological approaches that measure low complexity (LC) and related sequence properties. Composition bias is often associated with LC and disorder, but repeats, while compositionally biased, might also induce ordered structures. We illustrate this dichot…

Valence Topological Charge-Transfer Indices for Dipole Moments

2003

Valence topological charge-transfer (CT) indices are applied to the calculation of dipole moments. The dipole moments calculated by algebraic and vector semisums of the CT indices are defined. The combination of the CT indices allows the estimation of the dipole moments. The model is generalized for molecules with heteroatoms. The ability of the indices for the description of the molecular charge distribution is established by comparing them with the dipole moment of the valence-isoelectronic series of benzene and styrene. Two CT indices, μ v e c (vector semisum of vertex-pair dipole moments) and μ V v e c (valence μ v e c ) are proposed. μ v e c and μ V v e c are important for the predicti…