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2015 3rd International Symposium on Computational and Business Intelligence (ISCBI)

7-9 Dec. 2015

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Displaying Results 1 - 25 of 29
  • [Title page i]

    Publication Year: 2015, Page(s): i
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  • [Title page iii]

    Publication Year: 2015, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2015, Page(s): iv
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  • Table of contents

    Publication Year: 2015, Page(s):v - vi
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  • Message from the General Chair

    Publication Year: 2015, Page(s): vii
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  • Message from the Program Chairs

    Publication Year: 2015, Page(s): viii
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  • Symposium Committees

    Publication Year: 2015, Page(s):ix - xi
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  • Elephant Herding Optimization

    Publication Year: 2015, Page(s):1 - 5
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (244 KB) | HTML iconHTML

    In this paper, a new kind of swarm-based metaheuristic search method, called Elephant Herding Optimization (EHO), is proposed for solving optimization tasks. The EHO method is inspired by the herding behavior of elephant group. In nature, the elephants belonging to different clans live together under the leadership of a matriarch, and the male elephants will leave their family group when they grow... View full abstract»

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  • Effects of Weight Initialization in a Feedforward Neural Network for Classification Using a Modified Genetic Algorithm

    Publication Year: 2015, Page(s):6 - 12
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (403 KB) | HTML iconHTML

    In this paper electroencephalography (EEG) patterns are classified using a feedforward neural network trained with a modified genetic algorithm (GA). The objective is to investigate the effects of weight initialization in the neural network and to propose the best settings. Special operators like geometric ranking selection, blend-alpha crossover and non-uniform mutation are employed. For the init... View full abstract»

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  • Facility Layout Planning Using Fuzzy Closeness Computation and a Genetic Algorithm

    Publication Year: 2015, Page(s):13 - 20
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (837 KB) | HTML iconHTML

    The purpose of this study is to analyze and improve the solution of the facility layout problem following earlier approaches by Karray et al. We briefly describe the facility layout problem, including a short literature review, compare different solution methods and finally introduce a new solution approach combining fuzzy logic with a genetic algorithm (GA). In the end we compare results from bot... View full abstract»

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  • An Improved Simulated Annealing Algorithm and Area Model for the Fixed-Outline Floorplanning with Hard Modules

    Publication Year: 2015, Page(s):21 - 25
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (268 KB) | HTML iconHTML

    Fixed-outline floorplanning is a hot issue in physical design, and it is more complicated than outline-free floorplanning since it considers the chip fixed-outline constraints. In this paper, an improved simulated annealing algorithm (ISA) is proposed to solve fixed-outline floorplanning. In case ISA encounters premature convergence, it randomly generates a new floorplan which is independent of th... View full abstract»

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  • Optimizing SMOTE by Metaheuristics with Neural Network and Decision Tree

    Publication Year: 2015, Page(s):26 - 32
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (262 KB) | HTML iconHTML

    SMOTE (Synthetic minority over-sampling technique) is a commonly used over-sampling technique to subside the imbalanced dataset problem. Traditionally SMOTE has two key important parameters, one is to control the amount of over-sampling, and the other specifies the area of the nearest neighbors. These two parameters are arbitrarily chosen by user. So there are no universally best default values. I... View full abstract»

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  • Preferred Region Based Evolutionary Multi-objective Optimization Using Parallel Coordinates Interface

    Publication Year: 2015, Page(s):33 - 38
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (937 KB) | HTML iconHTML

    This work proposes a novel preference based evolutionary multi and many-objective optimization approach to search a specific region of the Pareto front. First, to know the overview of the entire Pareto front, the proposed approach roughly approximates it by using a representative MOEA/D with uniformly distributed weight vectors. Then, the obtained solutions are plotted on the parallel coordinates ... View full abstract»

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  • A Hybrid PBIL-Based Krill Herd Algorithm

    Publication Year: 2015, Page(s):39 - 44
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (221 KB) | HTML iconHTML

    When krill herd (KH) is used to solve complicated multimodal functions, sometimes it fails to find the best solutions and cannot converge fast. Herein, we propose a hybrid KH method, called PBILKH, by integrating the KH with the population-based incremental learning (PBIL). In addition, a type of elitism is applied to memorize the krill with the best fitness when finding the best solution. The eff... View full abstract»

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  • A Semi-supervised Algorithm for Indonesian Named Entity Recognition

    Publication Year: 2015, Page(s):45 - 50
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (201 KB) | HTML iconHTML

    Named Entity Recognition or NER is one of the sub-research field of Information Extraction which can be used for machine translation, question answering, semantic web, etc. One of the biggest challenge of NER is the adversity to construct a manually labeled training data. In this work, we present a semi-supervised approach for Indonesian language NER which is capable of creating high quality train... View full abstract»

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  • Applying a Chaos-Based Firefly Algorithm to the Permutation Flow Shop Scheduling Problem

    Publication Year: 2015, Page(s):51 - 57
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (273 KB) | HTML iconHTML

    The Permutation Flow Shop scheduling Problem (PFSP) is a typical combinatorial optimization problem. In order to improve the efficacy in solving the PFSP, we applied a discrete mechanism to convert the real value of individuals into discrete job sequences at first. In particular, a Chaos-based Firefly Algorithm (CFA) is used to optimize the initial population, which provided a superior initial env... View full abstract»

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  • Visualizing Irrelevant Attributes Classification Using Mosaicplot

    Publication Year: 2015, Page(s):58 - 62
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (520 KB) | HTML iconHTML

    This paper is an experiment of data fruit plants comes from the Department of Food Crops and Horticultural Central of Aceh District and Bener Meriah District. We focused our experiment in using visualizing. The analysis contained in this paper have used AdaBoost.M1 to build the model classification and Mosaics plot for visualization. Using visualization with Mosaic plot we can see and depict some ... View full abstract»

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  • An Ensemble Associated Feature Subset Selection for Classification Problems

    Publication Year: 2015, Page(s):63 - 67
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (259 KB) | HTML iconHTML

    Feature subset selection is an important problem in machine learning and data mining. If the suitable features are selected, the results of classification or prediction will be more accurate, while if the unsuitable features are used, the results may have no meaningful. This paper presents a method for feature subset selection that uses the ensemble technique to increase the efficiency of feature ... View full abstract»

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  • Attributing Conversion Credit in an Online Environment: An Analysis and Classification

    Publication Year: 2015, Page(s):68 - 73
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (151 KB) | HTML iconHTML

    In the context of marketing, attribution is the process of quantifying the value of marketing activities relative to the final outcome. It is a topic rapidly growing in importance as acknowledged by the industry. However, despite numerous tools and techniques designed for its measurement, the absence of a comprehensive assessment and classification scheme persists. Thus, we aim to bridge this gap ... View full abstract»

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  • Automatic Recognition of Books Based on Machine Learning

    Publication Year: 2015, Page(s):74 - 78
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (197 KB) | HTML iconHTML

    The content-based image recognition is a research focus in the field of computer vision. Machine learning especially deep learning has a great potential in the field of image recognition. This paper adopts the support vector machine algorithm and deep learning method convolutional neural network to recognize books in the digital image library and compares their performance. Experiments show that b... View full abstract»

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  • On Learning Software Effort Estimation

    Publication Year: 2015, Page(s):79 - 84
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (316 KB) | HTML iconHTML

    Software Effort is defined as the person months required to make a software application. Software effort estimation is usually the most important phase in the software development life cycle. Software effort estimation requires high accuracy at early phases, but accurate estimations are difficult to achieve. Machine Learning techniques are widely exploited that assist in getting improved evaluated... View full abstract»

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  • ASTERISK Based Open Source IP-PBX System for Accountable Customer Support Service

    Publication Year: 2015, Page(s):85 - 88
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (208 KB) | HTML iconHTML

    Customer support service has now become an integral part of every large enterprise since customer satisfaction is largely determined by the quality of service he/she receives after purchase of a product/service. Traditionally legacy phone based PBX systems are deployed to provide customer support service where operators are appointed to receive calls and respond to customers' queries or complaints... View full abstract»

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  • Control of Variable Exchange Probability for Directed Mating in Evolutionary Constrained Multi-objective Continuous Optimization

    Publication Year: 2015, Page(s):89 - 94
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (370 KB) | HTML iconHTML

    For solving constrained multi-objective optimization problems, an evolutionary algorithm using the two-stage non-dominated sorting and the directed mating (TNSDM) has been proposed. To generate offspring, the directed mating utilizes useful infeasible solutions having better objective values than feasible solutions in the population while conventional approaches avoid to use infeasible solutions a... View full abstract»

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  • An Ergonomics Evaluation to Chatbot Equipped with Knowledge-Rich Mind

    Publication Year: 2015, Page(s):95 - 99
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (153 KB) | HTML iconHTML

    Nowadays, more and more chatbots can get acquainted with the world by equipping with knowledge-rich minds which connect to Internet. In this paper, we will first explore how to integrate more knowledge into chatbot and how to make chatbot be aware of what are going on in the world. On top of that, a series of evaluations were performed on the prototype system. Through the evaluations, we mainly wa... View full abstract»

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  • Driver Face Image Enhancement Based on Guided Filter

    Publication Year: 2015, Page(s):100 - 104
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (285 KB) | HTML iconHTML

    The paper proposes a method based on guided filter to enhance the driver face image under weak light environment. First, image is converted from RGB color space to HSV color space. Then based on the theory of Retinex algorithm, guided filter is applied to estimate the illumination, obtaining the reflection image which only contains the characteristics of the object. In order to restore the color o... View full abstract»

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