Recursive neural models, which use syntactic parse trees to recursively generate representations bottom-up, are a popular architecture. But there have not been rigorous evaluations showing for exactly which tasks this syntax-based method is appropriate. In this paper we benchmark recursive neural models against sequential recurrent neural models (simple recurrent and LSTM models), enforcing app...

Both information systems (IS) researchers and practitioners consider data governance as a promising approach for companies to improve and maintain the quality of corporate data, which is seen as critical for being able to meet strategic business requirements, such as compliance or integrated customer management. Both sides agree that data governance primarily is a matter of organisation. Howeve...

The application of algebraic speciication techniques in the early phases of software development requires a means for specifying views. In this paper we argue for algebraic view speciication based on an algebraic concept model. The concept model consists of two parts: a meta model deening the concepts of diierent views and the relationships between them, and a system model deening the system be...

Customer journey maps (CJMs) are used to understand customers’ behavior, and ultimately to better serve them. This new approach is used in numerous disciplines for different purposes. As a response, several software applications have emerged. Although they provide interfaces to understand CJMs, they lack measures to assist in decision making. We contribute by proposing a CJM model. We show its ...

This paper is about the statistical description of the contents of an existing or future database. This information, very often neglected in database design methods, is essential for database optimisation and physical tuning for instance. The paper defines an extension of the E-R model to specify the size of the populations of entity types, relationship types, domains, attributes, and of their ...

Ever since the 1990s, the role of call centers has been transformed from a cost to be minimized to a crucial element that performs integrated marketing functions. Call centers have become among the most crucial corporate assets to grow customer relationships and firm profits. In this paper, we formulate the traditional operation management decision of call allocations as a customer relationship...

In this study a hybrid (including qualitative and quantitative objectives) fuzzy multi objective nonlinear programming (H-FMONLP) model with different goal priorities will be developed for aggregate production planning (APP) problem in a fuzzy environment. Using an interactive decision making process the proposed model tries to minimize total production costs, carrying and back ordering costs a...

The problem of learning Bayesian network structure is well known to be NP–hard. It is therefore very important to develop efficient approximation techniques. We introduce an algorithm that within the framework of influence diagrams translates the structure learning problem into the strategy optimisation problem, for which we apply the Chen’s self–annealing stochastic optimisation algorithm. The...

The main idea of this paper is to represent shopping items through vectors because these vectors act as the base for building embeddings for customers and shopping carts. Also, these vectors are input to the mathematical models that act as either a recommendation engine or help in targeting potential customers. We have used exponential family embeddings as the tool to construct two basic vector...