A Comparison and Scenario Analysis of Leading Data Mining Software

2009 ◽  
pp. 467-485
Author(s):  
John Wang ◽  
Xiaohua Hu ◽  
Kimberly Hollister ◽  
Dan Zhu
Keyword(s):  
Data Mining ◽  
Analytic Hierarchy Process ◽  
Scenario Analysis ◽  
Market Place ◽  
Analytic Hierarchy ◽  
Mining Technology ◽  
Expert Choice ◽  
Technology Changes ◽  
The Right ◽  
Hierarchy Process

Finding the right software is often hindered by different criteria as well as by technology changes. We performed an analytic hierarchy process (AHP) analysis using Expert Choice to determine which data mining package was best suitable for us. Deliberating a dozen alternatives and objectives led us to a series of pair-wise comparisons. When further synthesizing the results, Expert Choice helped us provide a clear rationale for the decision. The issue is that data mining technology is changing very rapidly. Our article focused only on the major suppliers typically available in the market place. The method and the process that we have used can be easily applied to analyze and compare other data mining software or knowledge management initiatives.

A Comparison and Scenario Analysis of Leading Data Mining Software

2010 ◽  
pp. 192-210
Author(s):  
John Wang ◽  
Xiaohua Hu ◽  
Kimberly Hollister ◽  
Dan Zhu
Keyword(s):  
Data Mining ◽  
Analytic Hierarchy Process ◽  
Scenario Analysis ◽  
Market Place ◽  
Analytic Hierarchy ◽  
Mining Technology ◽  
Expert Choice ◽  
Technology Changes ◽  
The Right ◽  
Hierarchy Process

Finding the right software is often hindered by different criteria as well as by technology changes. We performed an analytic hierarchy process (AHP) analysis using Expert Choice to determine which data mining package was best suitable for us. Deliberating a dozen alternatives and objectives led us to a series of pair-wise comparisons. When further synthesizing the results, Expert Choice helped us provide a clear rationale for the decision. The issue is that data mining technology is changing very rapidly. Our article focused only on the major suppliers typically available in the market place. The method and the process that we have used can be easily applied to analyze and compare other data mining software or knowledge management initiatives.

A Specialized Evaluation and Comparison of Sample Data Mining Software

2010 ◽  
pp. 300-318
Author(s):  
John Wang ◽  
Xiaohua Hu ◽  
Kimberly Hollister ◽  
Dan Zhu
Keyword(s):  
Data Mining ◽  
Process Analysis ◽  
Market Place ◽  
Analytic Hierarchy ◽  
Mining Technology ◽  
Expert Choice ◽  
Technology Changes ◽  
Sample Data ◽  
The Right ◽  
Hierarchy Process

Finding the right software is often hindered by different criteria as well as by technology changes. The authors performed an AHP (Analytic Hierarchy Process) analysis using Expert Choice to determine which data mining package was most suitable. Deliberating a dozen alternatives and objectives led them to a series of pair-wise comparisons. When further synthesizing the results, Expert Choice helped provide a clear rationale for the decision. The issue is, data mining technology is changing very rapidly. This chapter focused only on the major suppliers typically available in the market place. The method and the process that was used can be easily applied to analyze and compare other data mining software or knowledge management initiatives.

Using Analytic Hierarchy Process to Optimize PESTEL Scenario Analysis Tool in Huge Construction Projects

2017 ◽  
Vol 865 ◽  
pp. 707-712 ◽  
Author(s):  
José Geraldo Lamas Leite ◽  
Luiz Carlos Brasil de Brito Mello ◽  
Orlando Celso Longo ◽  
Eduardo Picanço Cruz
Keyword(s):  
Analytic Hierarchy Process ◽  
Scenario Analysis ◽  
Exploratory Study ◽  
Construction Projects ◽  
Pareto Distribution ◽  
Civil Engineering ◽  
Analysis Tool ◽  
Analytic Hierarchy ◽  
Engineering Construction ◽  
Hierarchy Process

This paper uses the Analytic Hierarchy Process to optimize the PESTEL analysis. The scenario: pre-construction and assembly factors of huge civil engineering construction projects. Several managers use too many criteria to evaluate large projects. It suggests that there may be few important criteria that summarize the manager's preference. To demonstrate the feasibility of the proposed hypothesis, the authors prepared a qualitative and exploratory study. Conclusions are based on the judgment of an expert interviewed. As expected, the hypothesis was considered plausible. Two main criteria corresponded to 71% of the expert's preference. The result resembles a Pareto distribution.

PENENTUAN PRIORITAS INFRASTRUKTUR JALAN DENGAN METODE ANALYTIC HIERARCHY PROCESS (AHP) EXPERT CHOICE STUDI KASUS: JALAN RAYA DEMAK-GODONG

2020 ◽  
Vol 19 (2) ◽  
pp. 132-141
Author(s):  
Uppit Yuliani
Keyword(s):  
Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Expert Choice ◽  
Hierarchy Process

Proses penentuan proyek jalan pada pembangunan infrastruktur jalan, disusun berdasarkan skala kebutuhan dan kemendesakan seperti yang ada dalam Daftar Usulan Rencana Proyek (DURP). Pada penerapannya di lapangan ditemukan perbedaan antara DURP dengan rencana proyek yang telah disetujui seperti pada Daftar Isian Proyek (DIP). Studi penelitian menggunakan kasus jalan raya Demak – Godong Jawa Tengah yang dibangun oleh Dinas Bina Marga. Pendekatan ilmiah perlu dilakukan sebagai bahan untuk memutuskan penanganan proyek jalan sehingga dapat mengurangi unsur subyektivitas para pembuat kebijakan. Metode ilmiah yang digunakan adalah metode Analytic Hierarchy Process (AHP), metode yang cukup dikenal dan banyak digunakan dalam pengambilan keputusan dan manajemen. Melalui studi ini dapat dibuktikan bahwa metode AHP cukup handal dalam membantu para pembuat kebijakan dalam proses pengambilan keputusan yang obyektif. Metode AHP yang digunakan adalah Expert Choice untuk menentukan manakah prioritas jalan yang tepat, apakah beton atau aspal melihat dari beberapa faktor seperti daya tahan konstruksi serta dari segi penilaian kualitatif berupa perbandingan tingkat kenyamanan, dampak lingkungan, dampak sosial, ketersediaan bahan & peralatan dilokasi, serta metode & teknologi pelaksanaan. Dari hasil penelitian dapat diketahui faktor teknis yang mempunyai bobot tertinggi adalah faktor daya tahan terhadap cuaca sebagai prioritas dengan nilai 0,493, faktor non teknis yang mempunyai bobot tertinggi adalah faktor ketersediaan sumber daya dengan nilai prioritas 0,298 terhadap cuaca, 0,356 terhadap pergerakan tanah dan 0,363 terhadap perubahan lalu lintas. Konstruksi jalan beton unggul pada empat faktor yaitu daya tahan terhadap cuaca, daya tahan terhadap pergerakan tanah, daya tahan terhadap lalu lintas dan jangka waktu perawatan dengan tingkat keunggulan rata-rata enam kali dibanding konstruksi aspal. Keunggulan konstruksi aspal terdapat pada faktor-faktor kenyamanan permukaan jalan, kemudahan pelaksanaan pembangunan, ketersediaan sumber daya dan teknologi serta biaya dengan yang perbandingan keunggulannya dengan konstruksi beton adalah rata-rata empat kali. Dari berbagai aspek tersebut menunjukkan jalan beton rata-rata lebih unggul dibanding dengan jalan aspal.

scholarly journals Identification and Prioritization of “Black Spots” without Using Accident Information

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Mahmoudreza Keymanesh ◽  
Hasan Ziari ◽  
Samira Roudini ◽  
Ali Nasrollahtabar Ahangar
Keyword(s):  
Analytic Hierarchy Process ◽  
Analytical Hierarchy Process ◽  
Road Safety ◽  
Road Traffic ◽  
Analytic Hierarchy ◽  
Expert Choice ◽  
Black Spots ◽  
Accident Data ◽  
Road Safety Audit ◽  
Hierarchy Process

It is attempted to identify and prioritize the accident prone points (black spots) in “Iraanshahr-Sarbaaz-Chabahar” road located in Baluchistan, Iran, without no use of accident data but rather using Analytic Hierarchy Process (AHP), which is the enhanced procedure of road safety audit technique. First, by surveying the whole route, all factors that could influence accidents in this road were specified; then the route was divided into eight sections; this division was performed based on the uniformity and homogeny of each section in terms of geometric design and regional conditions. In each section, potentially hazardous locations were identified and some questionnaires were prepared, which were filled by 5 road traffic experts familiar with the route; then the collected data were analyzed by Analytical Hierarchy Process (AHP) using Expert Choice Software and the black spots were identified and prioritized. Finally, these black spots were compared with the black spots that had been obtained by traffic police based on accident data.

scholarly journals Avaliação das Estratégias de Comercialização do Milho em MS Aplicando o Analytic Hierarchy Process (AHP)

2016 ◽  
Vol 54 (1) ◽  
pp. 131-146 ◽  
Author(s):  
João Gilberto Mendes dos Reis ◽  
Oduvaldo Vendrametto ◽  
Irenilza de Alencar Naas ◽  
Lucio Tadeu Costabile ◽  
Sivanilza Teixeira Machado
Keyword(s):  
Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Mato Grosso ◽  
Expert Choice ◽  
Hierarchy Process ◽  
Mato Grosso Do Sul

Resumo: Os produtores de milho precisam decidir sobre qual a melhor alternativa para comercialização do produto: vender antes da colheita, no momento da colheita, no mercado futuro ou armazenar para vender na entressafra. Entretanto, essa nem sempre é uma tarefa fácil já que depende de diversas variáveis que afetam diretamente essa decisão. Neste estudo, foram analisados dados da produção de milho internacional e brasileira e buscou-se identificar qual a melhor estratégia de comercialização de milho para os produtores de Mato Grosso do Sul (MS) considerando quatro variáveis de decisão em conjunto: logística, preço, produtividade e disponibilidade de produto. Essa análise multicritério foi realizada adotando-se a metodologia do Analytic Hierarchy Process (AHP) com o uso do software Expert Choice (r) v. 11. Os resultados indicaram que a melhor decisão para o produtor de milho de MS seria vender o produto na entressafra e também apontaram que a logística foi o critério de maior peso na tomada de decisão (0,467).

scholarly journals THE LAND USE PRIORITY RANKING WITH THE APPROACH OF ANALYTIC HIERARCHY PROCESS (AHP) ON THE BOUNDARY OF ENTIKONG

2018 ◽  
Vol 3 (2) ◽  
pp. 103
Author(s):  
Robby Irsan ◽  
Luthfi Muta'ali ◽  
S Sudrajat
Keyword(s):  
Land Use ◽  
Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Technological Forecasting ◽  
Expert Choice ◽  
Priority Ranking ◽  
Development Goals ◽  
The Analytic Hierarchy Process ◽  
Resources Exploitation ◽  
Hierarchy Process

Entikong is a sub-districts located in the borderline, northern end of Sanggau Regency directly adjacent to Sarawak, Malaysia. The growth of Entikong as a center of growth does not provide a downward trickle effect, but it creates an excessive resources exploitation effect to the surrounding area (backwash effect). The land use within an area should be adjusted to its function. For that reason, this research will determine the priority and rank of land use by using the Analytic Hierarchy Process (AHP). The ranking is based on four aspects of criteria; social, economic, institutional, and environmental. The hierarchy model is sorted into alternatives, criteria, and sub-criteria. The criteria and subcriteria are compared, as well as the value of consistency. After data processing and analyzing with Expert Choice software version 11, the researcher found that the main priority of land use in Entikong is for plantation, which is 29,7%. Keywords: AHP, Land Use, Expert Choice   References Adimihardja, A. (2006). Strategi mempertahankan multifungsi pertanian di indonesia. Jurnal Litbang Pertanian. Bourgeois, R., Penunia, E., Bisht, S., & Boruk, D. (2017). Foresight for all: Co-elaborative scenario building and empowerment. Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2017.04.018 Ernan Rustiadi, Sunsus Saefulhakim, D. R. P. (2011). Perencanaan dan Pengembangan Wilayah. Restpent Press. Fandelli, C. (2014). Bisnis Konservasi Pendekatan Baru Dalam Pengelolaan Sumberdaya Alam dan Lingkungan Hidup (2nd ed.). Yogyakarta: Gadjah Mada University Press. Retrieved from http://ugmpress.ugm.ac.id/id/product/sains-teknologi/bisnis-konservasi-pendekatan-baru-dalam-pengelolaan-sumberdaya-alam-dan-lingkungan-hidup Giyarsih, S. R. (2010). POLA SPASIAL TRANSFORMASI WILAYAH DI KORIDOR YOGYAKARTA-SURAKARTA Spatial Pattern of Regional Transformation In Yogyakarta-Surakarta Corridor. Forum Geografi. Hidayat, W., Rustiadi, E., & Kartodihardjo, H. (2015). Dampak Pertambangan Terhadap Perubahan Penggunaan Lahan dan Kesesuaian Peruntukan Ruang (Studi Kasus Kabupaten Luwu Timur, Provinsi Sulawesi Selatan). Jurnal Perencanaan Wilayah Dan Kota. https://doi.org/10.5614/jpwk.2015.26.2.5 IPCC. (2000). Land Use, Land-Use Change, and Forestry. Forestry. https://doi.org/DOI: 10.2277/0521800838 Ishartono & Raharjo, S. T. (2015). Sustainable Development Goals (SDGs) Dan Pengentasan Kemiskinan. Social Work Jurnal. https://doi.org/ttps://doi.org/10.24198/share.v6i2.13198 Prawira, N. G. A., & Ariastita, P. G. (2014). Rumusan Insentif dan Disinsentif Pengendalian Konversi Lahan Pertanian di Kabupaten Gianyar. Jurnal Teknik Pomits. Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences. https://doi.org/10.1504/IJSSCI.2008.017590    

scholarly journals Fatores de decisão e qualidade na rede de suprimentos da soja de Mato Grosso

Agrarian ◽  
2019 ◽  
Vol 12 (44) ◽  
pp. 248-260 ◽  
Author(s):  
Rodrigo Carlo Toloi ◽  
Joao Gilberto Mendes dos Reis ◽  
Emerson Rodolfo Abraham ◽  
Marley Nunes Vituri Toloi ◽  
Robson Elias Bueno
Keyword(s):  
Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Mato Grosso ◽  
Expert Choice ◽  
Hierarchy Process

Os produtores rurais de Mato Grosso precisam identificar os fatores que mais influenciam na decisão sobre a produção de soja e assim decidir sobre qual a melhor alternativa para a utilização dos seus fatores de produção: produzir soja, produzir milho ou dedicar a outras atividades agropecuárias. Entretanto, essa nem sempre é uma tarefa fácil já que depende de diversas variáveis que afetam diretamente essa decisão. Neste estudo, foram analisados dados acerca da produção de soja em Mato Grosso e buscou-se identificar quais são fatores de decisão que influenciam na qualidade e produção da rede de suprimentos da soja considerando três variáveis de decisão em conjunto: comercialização, logística e a produção rural. Essa análise multicritério foi realizada adotando-se a metodologia do Analytic Hierarchy Process (AHP) com o uso do software Expert Choice® v. 11. Os resultados indicaram que a melhor decisão para o produtor rural mato-grossense seria dedicar a outras atividades agrícolas, exceto a soja e o milho, e apontaram que a comercialização foi o critério de maior peso na tomada de decisão (0,627).

scholarly journals Local Superior Products in Fishery Sector in Banggai Regency Indonesia

2019 ◽  
Author(s):  
Sri Sukari Agustina
Keyword(s):  
Analytic Hierarchy Process ◽  
Group Discussion ◽  
Market Potential ◽  
Analytic Hierarchy ◽  
Expert Choice ◽  
Local Product ◽  
Economic Contribution ◽  
Resource Support ◽  
Hierarchy Process ◽  
Means Of Production

The fisheries sector is one of the prima donna of Banggai Regency because the maritime and fisheries sector development is mentioned in the vision statement of the Banggai Regency Government. The purpose of this research was to determine superior local products in the sub-sector of the processing industry of Banggai Regency Indonesia by using Analytic Hierarchy Process (AHP) approach. This research aims to determine the superior local product in the fishery sector of Banggai Regency Indonesia with the Analytic Hierarchy Process (AHP) approach and supported by Expert Choice 11 software. The research was conducted based on several criteria such as production facility availability, market potential, human resource support, uniqueness, and economic contribution. The data were taken by purposive sampling method by considering the capacity and ability of respondents consisted of 15 SMEs stakeholders in fishery sector, 12 heads of division in Fisheries and Marine Affairs Department, and 7 academics in Faculty of Fishery, and 5 Faculty of Economics. The data were collected through Focus Group Discussion (FGD) and indepth interview. The result shows that the priority of superior local products of Banggai Regency can be developed by the local government namely wild fisheries products (pelagic fish species). In addition, the emphasis in aspects of human resources and means of production facilities.

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