Viscovery® Data Mining Suite

Viscover your data

The Viscovery® Data Mining Suite provides a powerful visual approach to high-performance data mining and predictive modeling.

The Viscovery software provides data scientists as well as business users with a versatile and powerful set of data mining tools. Even users without a statistical background can visualize highly complex data sets, recognize dependences and create predictive models.

The Viscovery software was developed based on a deep understanding of analytical methods in a wide variety of industries. Even the most complex medical and life science data become easier to interpret and use.

Analyze huge quantities of data

Using the combined power of self-organizing maps (SOMs) and robust statistics, Viscovery technology allows users to represent huge quantities of information on a single screen and visually reveal the essence of complex data.

Easily build predictive models

Guided by workflows, users import their data and build models that enable visual exploration of clusters and dependences. Statistical methods and advanced analytics can be deployed for predictive modeling, classification and forecasting of processes and outcomes based on key attributes.

Visually compare and explore

The Viscovery suite provides multiple capabilities to define segmentation and scoring, to test and validate models, and to evaluate the application results. Workflow branching allows the generation of model variations for comparison, exploration and hypothesis generation.

Integrate with enterprise knowledge management

Viscovery models can be shared easily to enrich decision making with visual information — so you can use all your data to increase productivity, effectiveness and gain a competitive advantage.

Key benefits

For over 20 years, Viscovery technology has been deployed in a wide variety of industries. In the life sciences and medical fields, it enables the following:

  • Perform gene expression analysis
  • Explore biological data patterns and identify biomarkers
  • Improve medical diagnostics and pathological classification
  • Analyze patient risk, treatment and prescription costs
  • Optimize healthcare systems
  • Improve clinical research
  • Stream-line biotechnology processes

Viscovery has been used in numerous publications; the following is a selection of those related to the life sciences and health. Visit www.viscovery.net to see more.

  • Clusters of Comorbidities Based on Validated Objective Measurements and Systemic Inflammation in Patients with Chronic Obstructive Pulmonary Disease
    Vanfleteren LEGW, Spruit MA, Groenen M, Gaffron S, van Empel VPM, Bruijnzee PLB, Rutten EPA, Op ’t Roodt J, Wouters EFM and Franssen FME (2013) American Journal of Respiratory and Critical Care Medicine 187:728-735
    Abstract
  • Anomaly Detection in Emergency Call Data – the First Step to the Intelligent Emergency Call System Management
    Klement P and Snášel V (2009) International Conference on Intelligent Networking and Collaborative Systems (INCOS), 4-6 Nov 2009, Barcelona, Spain
    Abstract | Full text
  • Combining data mining and case-based reasoning for intelligent decision support for pathology ordering by general practitioners
    Zhuang ZY, Churilov L, Burstein F and Sikaris K (2009) European Journal of Operational Research 195(3):662-75
    Abstract
  • Activation of epidermal growth factor receptor results in snail protein but not mRNA overexpression in endometrial cancer
    Hipp S, Walch A, Schuster T, Losko S, Laux H, Bolton T , Höfler H, et al. (2009) Journal of Cellular and Molecular Medicine 13(9B):3858-67
    Abstract
  • Using supervised and unsupervised techniques to determine groups of patients with different doctor-patient stability
    Siew E, Churilov L, Smith-Miles KA and Sturmberg JP (2008) Lecture Notes in Computer Science
    Abstract