Self-Organizing Maps

Teuvo Kohonen (2001) Springer Verlag, Third Edition

この本は、自己組織化マップの創始者であるTeuvo Kohonenによる基本の研究論文でありスタンダードな教科書である。

SOMおよびその亜種は、教師なし学習のカテゴリでの最もポピュラーな人工ニューラルネットワーク・アルゴリズムである。統計学、信号処理、制御理論、財務分析、実験物理、化学および医薬などの多くの科学分野において、標準的な分析ツールとしてSOMが採用されている。

Viscovery SOMine は、SOMアプリケーションを作成するためのスタンダードな商用ツールとしてレビューされている。

Kohonen Maps

Erkki Oja, Samuel Kaski; Contributor Erkki Oja and Samuel Kaski (1999), Elsevier

Top experts in the SOM method cover the state of the art and the future of theory. The thirty chapters of this book cover the current status of SOM theory, such as the role of SOMs in clustering, classification, probabilistic models, and energy functions. Many SOM applications are described, with an emphasis on data mining and exploratory data analysis as applied to large databases of financial data, medical data, free-form text documents, digital images, speech, and process measurements. Biological models related to the SOM are discussed as well.

Evolutionary multiobjective optimization and visualization

Obayashi (2005) In "New Developments in Computational Fluid Dynamics" eds. Kuwahara, Fujii, and Fujii, Springer Verlag

この号は、第6回国際野辺山ワークショップ（New Century of Computational Fluid Dynamics, Nobeyama, Japan, April 21-24, 2003）で発表された20編の論文を含む。

Viscovery SOMineは、超音速翼の設計のパラメータ空間をクラスタリングするのに用いられた。

Unlocking successful new rural industries: Is supply chain management the key?

Collins and Lim-Camacho (2005) Rural Industries Research and Development Corporation (Publication No 05/139)

This final report to the Rural Industries Research and Development Corporation addresses the role of supply-chain management as a business strategy in the development of five new rural industries in Australia. The report demonstrates that in new rural industries, firms with medium to high levels of supply chain management thinking, planning, and implementation are more successful in terms of creating value and achieving competitive advantage than those with lower levels of supply-chain management.

さまざまなサプライチェーンのケーススタディにおけるパターンを解明するためにViscovery SOMineとSPSS、および定性分析が使用された。 個々のケースのユニークな特徴が、どのように類似性と差異の特徴的パターンに結合するかをクラスタリングが明らかにした。

Tradeoff analysis of aerodynamic wing design for RLV

Chiba and Obayashi (2004) In "Parallel Computational Fluid Dynamics 2004: Multidisciplinary Applications" eds. Winter, Periaux, Ecer, Satofuka and Fox, Elsevier

この本は、Parallel Computational Fluid Dynamics and other modern scientific domains （2004年5月）の第16回国際会議、 Parallel CFD 2004の予稿集をレポートしている。乱流、複合流、非構造および適応グリッド、産業アプリケーション、並列最適化ツールとしてのソフトウェア・ツールおよび環境の開発などを含む広範囲なテーマについて寄稿された論文に関するセッションが行われた。

Viscovery SOMineは、設計空間に関する知識を獲得するためのデータマイニング手法として用いられた。 得られた結果は、最適化問題を解決するために有用であると考察された。

Applications of Multi-Objective Evolutionary Algorithms

Coello and Lamont (2004) World Scientific Publishing Company

Detailed applications are discussed by international experts, covering state-of-the-art practical insights in tackling statistical optimization with multi-objective evolutionary algorithms.

Viscovery SOMineは、設計トレードオフと設計変数のクラスタ分析のために使用された。 この分析は、重要な関係性を明らかにして、工学設計のためのこのソフトウェアの使用を実演した。

Soft systems analysis of ecosystems

Shanmuganathan (2004) PhD thesis, University of Technology, Auckland

This thesis describes case-study evaluation of the use of SOM techniques for ecosystem modeling to overcome the perceived inadequacies with conventional ecological-data analysis methods.

Viscovery SOMineは、財務データ分析のための SOMベース・クラスタリングのために使用された。このアプローチは、物理系変数内の変化と、それらの分析された生態系での効果を分析するための素晴らしいツールであることを証明した。

Neural Networks in Business: Techniques and Applications

Smith and Gupta, eds. (2003) RM Press

This book briefly reviews the two main types of neural networks that are applied to business: multilayered feedforward neural networks and SOMs. Several use cases for these methods are discussed and guidelines are provided for facilitating the successful application of these neural network models to business problems.

Viscovery SOMine software was used for SOM training of countries based on their economic performance. Critical guidelines for facilitating the successful application of neural network methods to business problems are provided.

Features, objects and other things: ontological distinctions in the geographical domain

Mark, Skupin and Smith (2001) In "Spatial Information Theory: Foundations of Geographic Information Science", ed. DR Montello, Springer Verlag

This book is the refereed proceedings of the 5th International Conference on Spatial Information Theory, COSIT 3001, held in Morro Bay, CA, USA in September 2001.

Viscovery SOMine was used for SOM training and initial labeling of neurons to uncover relationships in subject responses to elicitation questions designed to further a geospatial ontology research project.

Visual Explorations in Finance: With Self-Organizing Maps

Deboeck and Kohonen (1998) Springer Verlag

This book looks at SOM applications in finance, economic, and marketing applications. The book contains chapters on applications of unsupervised neural networks using Kohonen's self-organizing map approach to consumer attitudes in Beijing and Shanghai.

The application of SOMs to the modeling and analyses of financial data is demonstrated in detail using Viscovery SOMine. Sample data sets describing mutual funds, emerging markets, and responses to a CEIBS questionnaire are used to analyze investment opportunities and credit risk and to uncover consumer attitudes in Beijing and Shanghai.

Neuronale Netze im Marketing-Management: Praxisorientierte Einführung in modernes Data-Mining (German language)

Wiedmann, Buckler (2003) Gabler Verlag

This book presents software solutions for the application of neural networks to marketing management. A comprehensive overview of all relevant methods, software, and software vendors is provided.

Viscovery SOMine was evaluated and found to be an excellent tool for analyzing customer behavior modeling data (including relationships in large data sets), representing prediction models and creating customer profiles.

Prognose der Kreditausfallswahrscheinlichkeit. Mit künstlichen neuronalen Netzen. (German language)

Moser (2010) VDM Verlag

This book focuses on the development of models that are able to forecast insolvency. A method is developed that finds a quantitative indicator by analyzing and testing huge sets of nonlinear models and filtering the most effective models.

Viscovery Profiler was used to visualize key figures and their corresponding scores and to derive profiles of the effects of these key figures.

Performance Management and Analytics – Business Intelligence and the Digital Enterprise.

Wolfgang Martin (2015) Wolfgang Martin Team

Business Intelligence is defined via its two mainstreams: performance management and analytics. Today, in the digital age, it must respond to the challenges of agile, smart and data-driven organizations. Performance management is needed for unerring monitoring and controlling of business processes, and analytics, in particular Big Data analytics, must improve competitiveness in extremely dynamic and volatile markets moving towards the Internet of Things.

Viscovery SOMine is positioned in the market segment of software tools for predictive analytics and data mining.