2011 3rd Conference on Data Mining and Optimization (DMO)最新文献

Comparison of various Wiener model identification approach in modelling nonlinear process 各种维纳模型辨识方法在非线性过程建模中的比较

2011 3rd Conference on Data Mining and Optimization (DMO) Pub Date : 2011-08-04 DOI: 10.1109/DMO.2011.5976517

Imam Mujahidin Iqbal, N. Aziz

引用次数: 9

Frequent pattern using Multiple Attribute Value for itemset generation 使用多属性值生成项目集的频繁模式

2011 3rd Conference on Data Mining and Optimization (DMO) Pub Date : 2011-06-28 DOI: 10.1109/DMO.2011.5976503

Zalizah Awang Long, A. Bakar, Abdul Razak Hamdan

引用次数: 2

Modeling forest fires risk using spatial decision tree 基于空间决策树的森林火灾风险建模

2011 3rd Conference on Data Mining and Optimization (DMO) Pub Date : 2011-06-28 DOI: 10.1109/DMO.2011.5976512

R. Yaakob, N. Mustapha, A. Nuruddin, I. S. Sitanggang

{"title":"Modeling forest fires risk using spatial decision tree","authors":"R. Yaakob, N. Mustapha, A. Nuruddin, I. S. Sitanggang","doi":"10.1109/DMO.2011.5976512","DOIUrl":"https://doi.org/10.1109/DMO.2011.5976512","url":null,"abstract":"Forest fires have long been annual events in many parts of Sumatra Indonesia during the dry season. Riau Province is one of the regions in Sumatra where forest fires seriously occur every year mostly because of human factors both on purposes and accidently. Forest fire models have been developed for certain area using the weightage and criterion of variables that involve the subjective and qualitative judging for variables. Determining the weights for each criterion is based on expert knowledge or the previous experienced of the developers that may result too subjective models. In addition, criteria evaluation and weighting method are most applied to evaluate the small problem containing few criteria. This paper presents our initial work in developing a spatial decision tree using the spatial ID3 algorithm and Spatial Join Index applied in the SCART (Spatial Classification and Regression Trees) algorithm. The algorithm is applied on historic forest fires data for a district in Riau namely Rokan Hilir to develop a model for forest fires risk. The modeling forest fire risk includes variables related to physical as well as social and economic. The result is a spatial decision tree containing 138 leaves with distance to nearest river as the first test attribute.","PeriodicalId":436393,"journal":{"name":"2011 3rd Conference on Data Mining and Optimization (DMO)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128739178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Evaluating Integrated Weight Linear method to class imbalanced learning in video data 评价视频数据中班级不平衡学习的综合权重线性方法

2011 3rd Conference on Data Mining and Optimization (DMO) Pub Date : 2011-06-28 DOI: 10.1109/DMO.2011.5976535

Zainal Apandi, N. Mustapha, L. S. Affendey

引用次数: 2

A greedy constructive approach for Nurse Rostering Problem 护士名册问题的贪婪建设性方法

2011 3rd Conference on Data Mining and Optimization (DMO) Pub Date : 2011-06-28 DOI: 10.1109/DMO.2011.5976532

Mouna Jamom, M. Ayob, Mohammed Hadwan

引用次数: 5

A semi-cyclic shift patterns approach for nurse rostering problems 护士名册问题的半循环轮班模式方法

2011 3rd Conference on Data Mining and Optimization (DMO) Pub Date : 2011-06-28 DOI: 10.1109/DMO.2011.5976525

Mohammed Hadwan, M. Ayob

{"title":"A semi-cyclic shift patterns approach for nurse rostering problems","authors":"Mohammed Hadwan, M. Ayob","doi":"10.1109/DMO.2011.5976525","DOIUrl":"https://doi.org/10.1109/DMO.2011.5976525","url":null,"abstract":"The paper, at hand, introduces a semi-cyclic shift patterns approach (SCSPA) that solves nurse rostering problem (NRP) at the Medical Centre, Universiti Kebangsaan Malaysia (UKMMC). Since night shift is the most problematic shift to assign due to the extra constraints that it has, the paper proposes a combination of semi-cyclic approach, which first allocates a predesigned night shift patterns cyclically, then allocates a combined morning and evening shift patterns in a non-cyclic manner until fulfilling the hard constraints. This is different from our previous work that adopted a non-cyclic shift pattern approach (NCSPA) to construct all of the possible valid shift patterns, which were a combination of morning, evening and night shifts which were incorporated to yield one-week shift patterns. Next, two shift patterns of one-week were allocated for each nurse until construct the initial roster. This paper presents a comparison between the proposed semi-cyclic approach and the previous non-cyclic approach. Beside the minimum violation penalty, we count the number of good patterns that each algorithm produces in order to measure the quality of constructed duty roster. Then, the approach applies simulated annealing algorithm in order to improve the overall produced roster as to enhance the initial roster that resulted from both algorithms. By using a semi-cyclic approach, two benefits over our previous work are gained, (i) the number of constructed shift patterns decreased remarkably, thus reduces the construction time; and (ii) allocating night shift patterns fairly for all nurses becomes more manageable. Based on the obtained results, the semi-cyclic approach yields a better duty roster as it produces more good patterns compared to our previous Non-cyclic approach.","PeriodicalId":436393,"journal":{"name":"2011 3rd Conference on Data Mining and Optimization (DMO)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115927871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

A genetic based wrapper feature selection approach using Nearest Neighbour Distance Matrix 基于最近邻距离矩阵的遗传包装特征选择方法

2011 3rd Conference on Data Mining and Optimization (DMO) Pub Date : 2011-06-28 DOI: 10.1109/DMO.2011.5976534

M. Sainin, R. Alfred

引用次数: 19

Data mining technique for expertise search in a special interest group knowledge portal 特殊兴趣群体知识门户中专业知识搜索的数据挖掘技术

2011 3rd Conference on Data Mining and Optimization (DMO) Pub Date : 2011-06-28 DOI: 10.1109/DMO.2011.5976499

Wan Muhammad Zulhafizsyam Wan Ahmad, S. Sulaiman, U. K. Yusof

引用次数: 0

Probability apriori based approach to mine rare association rules 基于概率先验的稀有关联规则挖掘方法

2011 3rd Conference on Data Mining and Optimization (DMO) Pub Date : 2011-06-28 DOI: 10.1109/DMO.2011.5976537

Sandeep Singh Rawat, L. Rajamani

引用次数: 14

Low-level Teamwork Hybridization for P-metaheuristics: A review and comparison p -元启发式的低水平团队杂交:综述与比较

2011 3rd Conference on Data Mining and Optimization (DMO) Pub Date : 2011-06-28 DOI: 10.1109/DMO.2011.5976516

S. Masrom, Siti Z.Z. Abidin, P. N. Hashimah, S. A.S. Abd. Rahman

引用次数: 1