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Data Mining and Optimization, 2009. DMO '09. 2nd Conference on

Date 27-28 Oct. 2009

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Displaying Results 1 - 25 of 38
  • [Front cover]

    Publication Year: 2009 , Page(s): c1
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  • [Title page]

    Publication Year: 2009 , Page(s): i
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  • [Copyright notice]

    Publication Year: 2009 , Page(s): ii
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  • Table of contents

    Publication Year: 2009 , Page(s): iii - v
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  • Preface

    Publication Year: 2009 , Page(s): vi - vii
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  • Organizing Committee

    Publication Year: 2009 , Page(s): viii - ix
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  • Knowledge discovery and management in life sciences: Impacts and challenges

    Publication Year: 2009 , Page(s): x - xi
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (31 KB)  

    This paper consists of two parts. The first part provides an overview of knowledge discovery focusing on life sciences and describes the main motivations for developing and applying knowledge discovery methods to analyze complex biological data. The paper briefly describes a few case studies where the analysis of high throughput biological data using unsupervised or supervised machine learning tec... View full abstract»

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  • The application of primitive heuristics to constraint satisfaction for complex real world optimisation

    Publication Year: 2009 , Page(s): xii
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (23 KB)  

    Summary form only given. The material presented in this work will outline the advances in the development of existing and new techniques produced from research, to complex scheduling problems encountered in industrial and commercial settings. The work outlines the success of using primitive or simple heuristics to achieve fast, efficient and good quality solutions to complex constraint satisfactio... View full abstract»

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  • University spin outs: The balance between research and practice

    Publication Year: 2009 , Page(s): xiii
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (21 KB)  

    Summary form only given. Developing high quality research within the business context offered by spin out activity makes a valuable and indeed necessary contribution to many modern fields of research. Within the field of operations research, often, Universities are involved in research activities in which models of or hypothetical Industrial problems are addressed. As the subsequent body of resear... View full abstract»

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  • Data warehouse and web-based OLAP for hotspot distribution in Indonesia

    Publication Year: 2009 , Page(s): 1 - 4
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (507 KB) |  | HTML iconHTML  

    This work aims to develop a Web-based OLAP (Online Analytical Processing) integrated with a data warehouse for hotspot distribution data. The data warehouse development adopts the three-tier data warehouse architecture. The data are represented in multidimensional model using the star scheme which consists of one data cube with two dimension tables i.e. the dimension time and the dimension locatio... View full abstract»

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  • Scalable approach for mining association rules from structured XML data

    Publication Year: 2009 , Page(s): 5 - 9
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (114 KB) |  | HTML iconHTML  

    XML has become the standard for data representation on the Web. This expansion in reputation has prompted the need for a technique to access XML documents. Many techniques have been proposed to tackle the problem of mining XML data we study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data. View full abstract»

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  • Dynamic data discretization technique based on frequency and K-Nearest Neighbour algorithm

    Publication Year: 2009 , Page(s): 10 - 14
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (92 KB) |  | HTML iconHTML  

    In this paper we propose a new approach to the dynamic data discretization technique. The technique is called frequency dynamic interval class (FDIC). FDIC consists of two important phases: The dynamic intervals class phase and the interval merging phase. The first phase uses a simple statistical frequency measure to obtain the initial intervals while in the second phase a K-nearest neighbour is u... View full abstract»

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  • Classification for talent management using Decision Tree Induction techniques

    Publication Year: 2009 , Page(s): 15 - 20
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (103 KB) |  | HTML iconHTML  

    Classification is one of the tasks in data mining. Nowadays, there are many classification techniques being used to solve classification problems such as neural network, genetic algorithm, Bayesian and others. In this article, we attempt to present a study on how talent management can be implemented using decision tree induction techniques. By using this approach, talent performance can be predict... View full abstract»

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  • Multi-Neighbourhood Particle Collision Algorithm for solving course timetabling problems

    Publication Year: 2009 , Page(s): 21 - 27
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (149 KB) |  | HTML iconHTML  

    This work presents a particle collision algorithm (PCA) to solve university course timetabling problems. The aim is to produce an effective algorithm for assigning a set of courses, lecturers and students to a specific number of rooms and timeslots, subject to a set of constraints. PCA always accepts improved solution but adaptively accepts worse solutions based on the quality of the solution. PCA... View full abstract»

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  • Metaheuristic approaches for optimizing agricultural land areas

    Publication Year: 2009 , Page(s): 28 - 31
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (67 KB) |  | HTML iconHTML  

    Metaheuristic approaches are the most selected technique to find optimization solution intelligently in many areas of timetabling and scheduling, space allocation, decision making and others. These approaches have promised a better solution in single objective optimization problem. However, there is no revealed discussion on the issue that has more than one problem. In agricultural land use planni... View full abstract»

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  • Mining generalized features for writer identification

    Publication Year: 2009 , Page(s): 32 - 36
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (161 KB) |  | HTML iconHTML  

    This paper proposes generalized features of various handwriting in forensic documents for writer identification. In forensic documents, graphologies need to scrutinize, analyze and evaluate the features of suspected authors from questioned handwriting and compared these documents with the original handwriting. This is due to the uniqueness of the shape and style of handwriting that can be used for... View full abstract»

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  • Classification of students' performance in computer programming course according to learning style

    Publication Year: 2009 , Page(s): 37 - 41
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (91 KB) |  | HTML iconHTML  

    In information technology related programs, computer programming courses are made compulsory subjects in most institutions of learning. However there are many reports on poor performance among students in such courses. Previous studies examined some of the variables influencing students' performance using statistical data analysis. The critical point of this study is the use of classification algo... View full abstract»

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  • A fuzzy time series model in forecasting Malaysian Government direct tax collection

    Publication Year: 2009 , Page(s): 42 - 45
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (94 KB) |  | HTML iconHTML  

    Fuzzy time series has been developed for forecasting in many areas of real life applications. This paper presents an application of fuzzy time series in Malaysian Government direct tax collection. The historical data of Malaysian Government direct tax collection are tested using the method proposed by Singh to obtain forecasted values of direct tax. The forecasted values and actual values are comp... View full abstract»

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  • Dissimilarity algorithm on conceptual graphs to mine text outliers

    Publication Year: 2009 , Page(s): 46 - 52
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (154 KB) |  | HTML iconHTML  

    The graphical text representation method such as Conceptual Graphs (CGs) attempts to capture the structure and semantics of documents. As such, they are the preferred text representation approach for a wide range of problems namely in natural language processing, information retrieval and text mining. In a number of these applications, it is necessary to measure the dissimilarity (or similarity) b... View full abstract»

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  • Vehicle and driver scheduling modelling: A case study in UKM

    Publication Year: 2009 , Page(s): 53 - 59
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (104 KB) |  | HTML iconHTML  

    This paper deals with the vehicle and driver scheduling problems at UKM transportation department. Given daily sets of trips, drivers and non homogenous vehicles fleet, the aim is to schedule the resources in order to cover, if possible, all the trip demands. The problem formulation has been done using sequential approach where an integer programming and goal programming models have been presented... View full abstract»

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  • Optimization model in timber harvest planning based on an incremental solution approach

    Publication Year: 2009 , Page(s): 60 - 64
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (335 KB) |  | HTML iconHTML  

    Timber harvest planning deals with selecting a forest area to harvest in a particular time period take into consideration both economic and environmental issues. The problem has been modelled using unit restriction approach and area restriction approach. An optimal or a feasible harvest schedules subject to adjacency constraints is generated using exact methods or meta-heuristic optimization techn... View full abstract»

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  • A note on the P-time algorithms for solving the maximum independent set problem

    Publication Year: 2009 , Page(s): 65 - 70
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (113 KB) |  | HTML iconHTML  

    In this article, the problem of finding maximum (weight) independent set (M(W)IS) is investigated. It is known that this problem belongs to the class of NP-hard problems. Although, there are polynomial time (P-time) algorithms to solve the M(W)IS problem for some special classes of graphs. Here, we propose a general scheme which extends all of classes that the M(W)IS problem is solvable for them i... View full abstract»

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  • Filter-wrapper approach to feature selection using RST-DPSO for mining protein function

    Publication Year: 2009 , Page(s): 71 - 78
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (138 KB)  

    This paper proposed a feature selection strategy based on rough set theory (RST) and discrete particle swarm optimization (DPSO) methods prior to classify protein function. RST is adopted in the first phase with the aim to eliminate the insignificant features and prepared the reduce features to the next phase. In the second phase, the reduced features are optimized using the new evolutionary compu... View full abstract»

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  • An exploratory study in classification methods for patients' dataset

    Publication Year: 2009 , Page(s): 79 - 83
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (65 KB) |  | HTML iconHTML  

    There are various methods in data mining that can be applied in classification data. This paper discusses the experiments done in classifying ICU data. The dataset consists of 25 variables for 410 patients. The goal of this experiment is to determine the survival of the patients, so the targeted output are alive and dead. Three selected data mining methods are decision tree, Naives Bayes and logis... View full abstract»

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  • Capturing uncertainty in associative classification model

    Publication Year: 2009 , Page(s): 84 - 89
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (244 KB) |  | HTML iconHTML  

    This paper aims to propose a weighted linguistic associative classification model for uncertainty data analysis using rough membership function. Transformation of quantitative association rules into linguistic representation can be achieved in discretizing the numerical interval into rough interval described with respective rough membership values. Transformation of linguistic information system i... View full abstract»

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