{"id":338,"date":"2023-11-22T15:02:47","date_gmt":"2023-11-22T06:02:47","guid":{"rendered":"https:\/\/www.mindware-jp.com\/en\/?page_id=338"},"modified":"2025-02-12T16:37:57","modified_gmt":"2025-02-12T07:37:57","slug":"viscovery-somine","status":"publish","type":"page","link":"https:\/\/www.mindware-jp.com\/en\/viscovery-somine\/","title":{"rendered":"Viscovery SOMine"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Mindware Research Institute provides Viscovery SOMine license with user support for&nbsp;<strong>Quantitative Business Strategy Management<\/strong>.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/buy.stripe.com\/9AQcNXfHofFY5MY7st\" target=\"_blank\" rel=\"noreferrer noopener\">Free Download<\/a><\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\">The new approach to VISCOVER your data<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Viscovery\u00ae SOMine\u00ae is a workflow-oriented software suite based on self-organizing maps (SOM) and multivariate statistics for explorative data mining and predictive modeling.<br><br>The system excels in intuitive user-guidance, mature implementation and a consistent focus on applications. Benefit from the unmatched compactness and elegance of Viscovery\u2019s visual data representation.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"487\" src=\"https:\/\/www.mindware-jp.com\/en\/wp-content\/uploads\/2023\/11\/image-1024x487.png\" alt=\"\" class=\"wp-image-339\" srcset=\"https:\/\/www.mindware-jp.com\/en\/wp-content\/uploads\/2023\/11\/image-1024x487.png 1024w, https:\/\/www.mindware-jp.com\/en\/wp-content\/uploads\/2023\/11\/image-300x143.png 300w, https:\/\/www.mindware-jp.com\/en\/wp-content\/uploads\/2023\/11\/image-768x365.png 768w, https:\/\/www.mindware-jp.com\/en\/wp-content\/uploads\/2023\/11\/image.png 1240w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">General features of the system<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Project environment platform for goal-oriented operation<\/li>\n\n\n\n<li>Dedicated workflows that provide focused navigation<\/li>\n\n\n\n<li>Clear workflow steps with proven default settings<\/li>\n\n\n\n<li>Workflow branching allowing generation of model variations<\/li>\n\n\n\n<li>Functions for integrated documentation and annotation<\/li>\n\n\n\n<li>Multiple handling tools to facilitate usage<\/li>\n\n\n\n<li>Function for saving combinations of visible windows as \u201cArrangements\u201d<\/li>\n\n\n\n<li>Comprehensive user manual, online help function and informative pop-ups throughout the system<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Modular software configuration<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">SOMine\u2019s modular architecture supports both business users and data scientists according to their growing needs.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The minimum configuration of Viscovery SOMine consists of the&nbsp;<a href=\"https:\/\/viscovery.net\/visual-explorer\">Visual Explorer<\/a>&nbsp;core module which includes the overall Viscovery SOMine platform functionality and the functionality of the Visual Explorer module.<\/li>\n\n\n\n<li>For advanced exploration and modeling, the&nbsp;<a href=\"https:\/\/viscovery.net\/cluster-classify\">Cluster and Classify<\/a>&nbsp;and&nbsp;<a href=\"https:\/\/viscovery.net\/predict-score\">Predict and Score<\/a>&nbsp;extension modules are available.<\/li>\n\n\n\n<li>The&nbsp;<a href=\"https:\/\/viscovery.net\/enterprise-data\">Enterprise Data<\/a>&nbsp;extension module provides enhanced features for data import and handling, as well as for the analyses of very high-dimensional and voluminous data.<\/li>\n\n\n\n<li>Each workflow can be automated using the corresponding&nbsp;<a href=\"https:\/\/viscovery.net\/workflow-automation\">Workflow Automation Service<\/a>, which is available as part of an additional package.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Software licensing<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">The Viscovery SOMine suite can be flexibly licensed in different ways. Each modular software configuration is available as<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Annual term licenses (which include minor updates for one year)&nbsp;<strong>or<\/strong>&nbsp;perpetual licenses<\/li>\n\n\n\n<li>Single-user licenses&nbsp;<strong>or&nbsp;<\/strong>network licenses for multi-usage in local networks<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">You can purchase annual, single-user term licenses directly on this website. Term licenses begin at the day of delivery and end automatically after one year.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For the other license options, please contact our sales team at&nbsp;<a href=\"mailto:sales@viscovery.co.jp\">sales@viscovery.co.jp<\/a>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Recommended workstation configuration<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Viscovery SOMine can be operated on standard computers under Windows 10 or newer.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>3 GHz CPU and 8 GB RAM (minimum 1.5 GHz\/2 GB)<\/li>\n\n\n\n<li>64 bit OS (32 bit available)<\/li>\n\n\n\n<li>Full HD graphics or higher (minimum 1280&#215;800)<\/li>\n\n\n\n<li>Available disk space should be 10 times the size of the analyzed data<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">License grades<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">Viscovery SOMine Visual Explorer (English version) <\/h4>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Visual Explorer<\/strong>&nbsp;is the core module of the&nbsp;Viscovery SOMine suite. It can be operated as a stand-alone system, as well as be flexibly extended with other modules of the suite.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The two basic&nbsp;<strong>Preprocess Data<\/strong>&nbsp;and&nbsp;<strong>Explore Data<\/strong>&nbsp;workflows are available; the first guiding the user through data import and preprocessing, the latter through the creation and exploration of the SOM model.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Data sets with up to 100,000 records and up to 100 variables can be processed.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In addition to the capabilities listed in the Viscovery SOMine page, Visual Explorer provides all basic tools for SOM creation and visualization, interactive exploration, and visual cluster analysis.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Main functions and features<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/viscovery.net\/bilder\/screenshots\/SOMine\/LetterRecognition.png\" target=\"_blank\" rel=\"noreferrer noopener\"><\/a>Multiple data preprocessing capabilities<\/li>\n\n\n\n<li>Definition and automatic management of nominal variables<\/li>\n\n\n\n<li>Tools for adjustment of&nbsp;histograms<\/li>\n\n\n\n<li>Creation of self-organizing map&nbsp;models using predefined schedules<\/li>\n\n\n\n<li>Interactive SOM visualization and exploration<\/li>\n\n\n\n<li>Visual cluster analysis with integrated visualization of cluster boundaries and inner structures<\/li>\n\n\n\n<li>Display of thumbnails from external documents over the map window<\/li>\n\n\n\n<li>Statistical functions, such as descriptive statistics, histograms, correlations,&nbsp;PCA, and scatter plots<\/li>\n\n\n\n<li>Cross-references to original data<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/buy.stripe.com\/9AQcNXfHofFY5MY7st\" target=\"_blank\" rel=\"noreferrer noopener\">Free Download<\/a><\/div>\n<\/div>\n\n\n\n<h4 class=\"wp-block-heading\">Viscovery SOMine Cluster and Classify (English version) for Academic\/Freelance<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Cluster and Classify<\/strong>&nbsp;is an extension module of the&nbsp;Viscovery SOMine suite. It requires the&nbsp;Visual Explorer core module&nbsp;and can optionally be combined with other modules of the suite.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The module provides multiple features for advanced exploration of the self-organizing map (SOM) model and for the interactive definition of alternative cluster models. In addition to the&nbsp;<strong>Create Classifier<\/strong>&nbsp;workflow, the&nbsp;<strong>Apply Classifier<\/strong>&nbsp;workflow guides the user through the application of classifiers to new data and the evaluation of classification results in comparison to control groups.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Main functions and features<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/viscovery.net\/bilder\/screenshots\/SOMine\/explore-classify.png\" target=\"_blank\" rel=\"noreferrer noopener\"><\/a>Group profiling and comparison<\/li>\n\n\n\n<li>Interactive data statistics for arbitrary map regions<\/li>\n\n\n\n<li>Exploration of cluster characteristics<\/li>\n\n\n\n<li>Interactive definition and annotation of cluster models<\/li>\n\n\n\n<li>System state monitoring<\/li>\n\n\n\n<li>Creation of multiple classifiers with post-processing formulas<\/li>\n\n\n\n<li>Application of classifiers to new data and export of classification results<\/li>\n\n\n\n<li>Visualization and evaluation of classification results<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"599\" src=\"https:\/\/www.mindware-jp.com\/en\/wp-content\/uploads\/2023\/11\/image-2-1024x599.png\" alt=\"\" class=\"wp-image-341\" srcset=\"https:\/\/www.mindware-jp.com\/en\/wp-content\/uploads\/2023\/11\/image-2-1024x599.png 1024w, https:\/\/www.mindware-jp.com\/en\/wp-content\/uploads\/2023\/11\/image-2-300x176.png 300w, https:\/\/www.mindware-jp.com\/en\/wp-content\/uploads\/2023\/11\/image-2-768x449.png 768w, https:\/\/www.mindware-jp.com\/en\/wp-content\/uploads\/2023\/11\/image-2-1536x899.png 1536w, https:\/\/www.mindware-jp.com\/en\/wp-content\/uploads\/2023\/11\/image-2.png 1880w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/buy.stripe.com\/fZe7tDbr879sdfqdQY\" target=\"_blank\" rel=\"noreferrer noopener\">Buy Now<\/a><\/div>\n<\/div>\n\n\n\n<h4 class=\"wp-block-heading\">Viscovery SOMine Cluster and Classify + Enterprise Data (English version)<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Enterprise Data<\/strong>&nbsp;is an extension module of the&nbsp;<a href=\"https:\/\/viscovery.net\/somine\">Viscovery SOMine suite<\/a>. It requires the&nbsp;<a href=\"https:\/\/viscovery.net\/visual-explorer\">Visual Explorer core module<\/a>&nbsp;and can optionally be combined with other modules of the suite.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This module provides features to connect with enterprise data sources, to handle very high-dimensional data and to support the work process in complex analysis projects.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The module enables processing of data sets with an unlimited number of records and variables in the complete suite.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Main functions and features<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/viscovery.net\/bilder\/screenshots\/SOMine\/MailOrderResponse.png\" target=\"_blank\" rel=\"noreferrer noopener\"><\/a>Database connectivity<\/li>\n\n\n\n<li>Additional data interfaces, such as XML&nbsp;and SPSS&nbsp;files<\/li>\n\n\n\n<li>Join functionality<\/li>\n\n\n\n<li>Random sampling of large data sets<\/li>\n\n\n\n<li>Multiple testing correction for high-dimensional data<\/li>\n\n\n\n<li>Data mart export with replacement options<\/li>\n\n\n\n<li>Specification of variable definitions in a preprocessing protocol<\/li>\n\n\n\n<li>Import and export of preprocessing settings from\/to a spreadsheet document<\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/buy.stripe.com\/3cs9BL2UCgK2fnydR1\" target=\"_blank\" rel=\"noreferrer noopener\">Buy Now<\/a><\/div>\n<\/div>\n\n\n\n<h4 class=\"wp-block-heading\">Viscovery SOMine Predict and Score (English version)<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Predict and Score<\/strong>&nbsp;is an extension module of the&nbsp;Viscovery SOMine suite. It requires the&nbsp;Visual Explorer core module&nbsp;and can optionally be combined with other modules of the suite.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The module provides two additional workflows: the&nbsp;<strong>Create Predictor<\/strong>&nbsp;workflow guides the user through the creation and validation of linear and non-linear prediction models, the&nbsp;<strong>Apply Predictor<\/strong>&nbsp;workflow through the definition and application of scoring models to new data and through the evaluation of scoring results in comparison to control groups.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"769\" src=\"https:\/\/www.mindware-jp.com\/en\/wp-content\/uploads\/2023\/11\/image-1-1024x769.png\" alt=\"\" class=\"wp-image-340\" srcset=\"https:\/\/www.mindware-jp.com\/en\/wp-content\/uploads\/2023\/11\/image-1-1024x769.png 1024w, https:\/\/www.mindware-jp.com\/en\/wp-content\/uploads\/2023\/11\/image-1-300x225.png 300w, https:\/\/www.mindware-jp.com\/en\/wp-content\/uploads\/2023\/11\/image-1-768x577.png 768w, https:\/\/www.mindware-jp.com\/en\/wp-content\/uploads\/2023\/11\/image-1.png 1390w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Main functions and features<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/viscovery.net\/bilder\/screenshots\/SOMine\/predict-score.png\" target=\"_blank\" rel=\"noreferrer noopener\"><\/a>Linear multivariate regression models with detailed model statistics<\/li>\n\n\n\n<li>Local regressions over self-organizing map (SOM) \u201creceptive fields\u201d to resolve non-linearities<\/li>\n\n\n\n<li>Visualization of local model statistics and non-linearity diagnostics<\/li>\n\n\n\n<li>Administration of data partitioning into training and test sets<\/li>\n\n\n\n<li>Graphical validation and comparison of created models<\/li>\n\n\n\n<li>Interactive definition of score groups and objective functions<\/li>\n\n\n\n<li>Application of scoring models to new data and export of scoring results<\/li>\n\n\n\n<li>Visualization and evaluation of application results using score charts and gains charts<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">The patented Local SOM Prediction technology combines the non-linear data representation of the SOM with linear regression \u201cwhite-box\u201d models, designed for explaining residual variance in the global linear model.&nbsp;<\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/buy.stripe.com\/9AQ8xHeDkalE4IU8wF\" target=\"_blank\" rel=\"noreferrer noopener\">Buy Now<\/a><\/div>\n<\/div>\n\n\n\n<h4 class=\"wp-block-heading\">Viscovery SOMine Cluster and Classify + Predict and Score + Enterprise Data (English version)<br><\/h4>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/buy.stripe.com\/aEU29j1QybpI0sE00c\" target=\"_blank\" rel=\"noreferrer noopener\">Buy now<\/a><\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Mindware Research Institute provides Viscovery SOMine license with user support for&nbsp;Quantitative Business Strategy Management. The new approach to VISCOVER your data Viscovery\u00ae SOMine\u00ae is a workflow-oriented software suite based on self-organizing maps (SOM) and multivariate statistics for explorative data mining and predictive modeling. The system excels in intuitive user-guidance, mature implementation and a consistent focus [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-338","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.mindware-jp.com\/en\/wp-json\/wp\/v2\/pages\/338","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.mindware-jp.com\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.mindware-jp.com\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.mindware-jp.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.mindware-jp.com\/en\/wp-json\/wp\/v2\/comments?post=338"}],"version-history":[{"count":6,"href":"https:\/\/www.mindware-jp.com\/en\/wp-json\/wp\/v2\/pages\/338\/revisions"}],"predecessor-version":[{"id":971,"href":"https:\/\/www.mindware-jp.com\/en\/wp-json\/wp\/v2\/pages\/338\/revisions\/971"}],"wp:attachment":[{"href":"https:\/\/www.mindware-jp.com\/en\/wp-json\/wp\/v2\/media?parent=338"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}