Expert Systems with Applications: An International Journal

• Introduce a novel Email sentiment analysis through trajectory representation.
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Traditional document-level sentiment analysis fails to consider sentiment sequence within documents. This research paper proposes a novel perspective of sequence-based document sentiment analysis for discovering sentiment sequence and ...

• We work on a dataset of five global public available indicators for year 2007.
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This paper presents an innovative operationalization of world-system analysis through attributional data, and makes use of an innovative Artificial Neural Network computational tool, the Auto-Contractive Map (AutoCM), to analyze the ...

• A new model to predict dynamic evolution of complex systems is proposed.
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Predictive analytics has become an important topic in expert and intelligent systems, with broad applications across various engineering and business domains, such as the prediction of exchange rate in finance, weather and demand for ...

• The problem of sharing distributed manufacturing resources is described.
• A ...

This paper considers a shared scheduling environment for distributed manufacturing resources. In this paper, we proposed a multi-agent system based approach to promote competition and cooperation among multi-agents and to achieve ...

• Focus on those reviews on highly emotion-embedded products/services.
• Solve the ...

Since the advent of blogging, microblogging, and social networking sites, researchers and practitioners have been increasingly concerned with the problem of obtaining useful evaluations from web-based opinion articles in a process ...

• Sine cosine algorithm is enhanced by hybridizing particle swarm optimization.
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The sine cosine algorithm (SCA), a recently proposed population-based optimization algorithm, is based on the use of sine and cosine trigonometric functions as operators to update the movements of the search agents. To optimize ...

• We propose two new feature extraction descriptors for Mammogram images. These descriptors capture the texture of the breast for normal–abnormal and benign–...

Breast cancer is becoming pervasive with each passing day. Hence, its early detection is a big step in saving the life of any patient. Mammography is a common tool in breast cancer diagnosis. The most important step here is ...

• A granulation of the linguistic information to made it operational is proposed.

This study is concerned with group decision making contexts in which linguistic preference relations are used to provide the evaluations of results. On the one hand, granulation of linguistic terms, which are used as entries of the ...

• A Genetic Programming approach is proposed for knowledge discovery in Innovization.

Recently, the interest of the researchers has grown in post-optimality analyses, with the search for intrinsic properties of the optimal solutions of a given problem. Innovization has been defined as a process of knowledge discovery, ...

• A Contextual Graph is a real model of the ways a task can be performed (practices).

A Contextual Graph is based on the Contextual Graph formalism, which allows experts to realistically model the possible ways a task can be realized (i.e., practices). The power of Contextual-Graphs relies on their capability of ...

• ATOVIC, a new classification system is proposed based on fused VIKOR and TOPSIS.

Classification procedure is an important task of expert and intelligent systems. Developing new algorithms of classification which improve accuracy or true positive rates could have an influence on some life problems such as diagnosis ...

• The gradient information is incorporated into the construction of the traditional SVR model.

ε-support vector regression (ε-SVR), as a direct implementation of the structural risk minimization principle rather than empirical risk minimization principle, is a new regression method with good generalization ability and can ...

• Unlike B-RRT, quad-RRT builds four RRT-trees over the map to speed up the process.

During the last decade, sampling based methods for motion and path planning have gained more interest. Specifically, in the field of robotics, approaches based on the Rapidly-exploring Random Tree (RRT) algorithm have become the ...

• Characterization of gender from handwriting using oriented Basic Image Features.

Classification of gender from images of handwriting is an interesting research problem in computerized analysis of handwriting. The correlation between handwriting and gender of writer can be exploited to develop intelligent systems to ...

• A method for automatic detection and diagnosis of mammographic mass is proposed.

In this article, a novel approach is proposed for automatic detection and diagnosis of mammographic masses, one of the common signs of non-palpable breast cancer. However, detection and diagnosis of mass are difficult due to its ...

• Statement of an exact (efficient) multi-objective formulation for the problem.
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Demand Side Management (DSM) has been a subject of much research due to the demand of strategies which enable the development of power generation, transmission and distribution in Smart Grids (SG). Throughout the years, many authors ...

• A Bayesian network is developed to detect miscoding and smuggling from shipment data.

Document fraud constitutes a growing problem in international shipping. Shipping documentation may be deliberately manipulated to avoid shipping restrictions or customs duties. Well-known examples of such fraud are miscoding and ...

• Sectional MinHash enhances MinHash data structure with locational information.
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MinHash is a widely-used method for efficiently estimating the amount of similarity between documents for Near-Duplicate Detection (NDD). However, it is based on the concept of set resemblance rather than near-duplication. In this ...

• Standard data envelopment analysis (DEA) models ignore intermediate stages making hard to detect sources of inefficiency.

Conventional data envelopment analysis (DEA) models treat the decision-making units (DMUs) as black-boxes: inputs enter the system and outputs exit the system, with no consideration for the intermediate steps characterizing the DMUs. ...

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• Novel concept of human behaviour recognition.
• Evolving cloud-based algorithm.

This paper presents an evolving cloud-based algorithm for the recognition of drivers’ actions. The general idea is to detect different manoeuvres by processing the standard signals that are usually measured in a car, such as the speed, ...