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Viscovery SOMine 5.2: A Powerful Tool for Explorative Data Mining

Viscovery SOMine 5.2 is a desktop application that allows users to perform explorative data mining, visual cluster analysis, statistical profiling, segmentation and classification based on self-organizing maps (SOMs) and classical statistics in an intuitive workflow environment[^1^] [^2^].

Some of the main functions of Viscovery SOMine 5.2 are[^1^] [^3^]:

Data preprocessing: Users can derive new variables using a built-in formula language, define and manage nominal variables, transform variables, define replacements in value ranges, treat missing values and outliers, perform sampling and removals, and more.

Data representation through Self-Organizing Maps: Users can compute and visualize two-dimensional SOMs with selectable granularity and attribute priorities, and explore the data using various graphical tools such as attributes, clusters, segments, U-matrix, frequency, quantization error, etc.

Data visualization and exploration: Users can define selections, labels and trajectories in the map, query the data ad-hoc through selections on the model, generate statistical group profiles for any selection down to the microcluster level, and create charts of important parameters.

Clustering, segmentation and classification: Users can apply automatic cluster methods (SOM-Ward, Ward, SOM-Single-Linkage) with integrated cluster visualization, define segments or classes based on statistical clustering or manual adaptation of segment boundaries, assign operational actions to segments as codes or formulas (business rules), manage and document segmentations and segments, and apply models to new data sets.

Statistical analysis and access to original data (only in Expert Edition and Enterprise Edition): Users can access descriptive statistics and histograms, correlation and principal component analysis, frequency table, box plots and scatter plots for each workflow step and for each selection in the map. Users can also display the original data records corresponding to selected areas in the model.

Viscovery SOMine 5.2 is a powerful tool for explorative data mining that can help users discover hidden patterns and relationships in large and complex data sets. It is compatible with SPSS data files and can be integrated with SPSS Modeler. Viscovery SOMine 5.2 is available in three editions: Standard Edition for basic data mining tasks; Expert Edition for advanced data mining tasks; and Enterprise Edition for large-scale data mining projects.Viscovery SOMine 5.2 has been used for various applications in different domains, such as customer relationship management, marketing, finance, health care, biotechnology, engineering, and more. Some examples of applications are:

Customer segmentation and profiling: Users can identify and describe customer segments based on their behavior, preferences, needs, and potential. Users can also assign actions to segments such as targeted offers, cross-selling, retention, or loyalty programs.

Fraud detection and risk management: Users can detect and prevent fraudulent transactions or activities by finding anomalies and outliers in the data. Users can also assess and manage risk by identifying risk factors and their impact on outcomes.

Quality control and process optimization: Users can monitor and improve the quality of products or services by finding defects, errors, or deviations in the data. Users can also optimize processes by finding bottlenecks, inefficiencies, or opportunities for improvement.

Biomarker discovery and gene expression analysis: Users can discover and validate biomarkers for diagnosis, prognosis, or treatment of diseases by finding clusters or patterns in gene expression data. Users can also analyze the effects of different factors such as drugs, treatments, or environmental conditions on gene expression.

Viscovery SOMine 5.2 is a versatile and user-friendly tool for explorative data mining that can help users gain insights and knowledge from their data. Users can download a free trial version of Viscovery SOMine 5.2 from the official website and try it out for themselves. ec8f644aee