Data Mining, Knowledge Discovery, Forecasting

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Content Mining & Pattern Discovery

Data mining has become a useful and practical tool for discovering patterns and relationships hidden in the sheer volume of available data. Data mining tools can also help in predicting future trends, conditions and behaviors, allowing businesses to make proactive, knowledge-driven decisions. A complete data mining tool set not only supports multiple methods of discovering patterns and relationships, but also provides tools for evaluating statistical qualities and confidence.

KBSI has developed a suite of data mining tools and technologies that provide data mining, text mining, and analytics on databases and data warehouses, allowing users to analyze, interpret, and better utilize their data. KBSI also has expertise in data mining and analytics and has developed advanced modeling, simulation and data mining capabilities that provide incipient trend detection, geographical and location based reasoning, correlation and pattern analyses, casualty analyses, predictive capabilities, and anomaly detection. These components can be integrated to provide comprehensive and flexible data mining capabilities for a broad range of application areas.

Ontology Driven Integration Framework (ODIF)

KBSI is designing and developing technology that will automate the sharing and integration of information among different organizations. The development of a common ontology for integrating diverse data sources, combined with knowledge extraction techniques and ontology analysis methods, will allow users to extract knowledge from distributed, unstructured text sources and share knowledge among large-scale project teams.

Biosurveillance-based Integrated Outbreak Warning And Recognition System (BIOWARS)

KBSI is designing, developing, and deploying an adaptive system for the automated discovery of disease outbreaks and impending bio terrorism attacks. Unlike current surveillance methods, BIOWARS applies syndromic surveillance, a knowledge based approach that looks for patterns of symptoms in the data that relate to or indicate common biological threat agents, and uses Bayesian networks to collect, organize, and store knowledge concerning these data patterns.

Adaptive Toolkit for the Discovery of Threats (ATDT)

KBSI developed a toolkit that integrates intelligent knowledge discovery techniques, advanced data mining technologies, and knowledge-based methods for automated threat detection. ATDT is an agent-based decision support system that mines data (news feeds, web databases, traffic reports, radio intercepts, human intelligence, etc.) to extract meaningful knowledge or "indicators" of emerging threats.

Information-Fusion based Indication & Warning Assessment and Recognition System (IIWARS)

KBSI developed a system that, using text mining technologies and information fusion, improves the DoD's terrorist threat assessment capabilities. IIWARS uses advanced text and data mining methods to mine data from multiple, distributed text sources (news feeds, web databases, traffic reports, radio intercepts, human intelligence) and extract multiple features and "indicators" of an emerging or actual threat. These indicators are then fused into a threat model which can be compared to hypothesized threat Course Of Action (COA) templates.

Blood Reserve Availability Assessment, Tracking, and Management System (BRAMS™)

KBSI is developing a system that allows users to manually enter data via a Web-based system, and to apply data mining and analytics in detecting blood supply problems, analyzing system behavior, evaluating alternate solutions, and optimizing the blood supply chain.

Military Health Data Mining Algorithms Library (M-HDML)

KBSI applied data mining technologies and techniques to the storage and retrieval of patient data, helping doctors to more accurately diagnose their patients.

Framework for Adaptive Modeling and Ontology-driven Simulation (FAMOS™)

KBSI is building a system for the development and execution of distributed military simulation applications. The FAMOS™ technology will reduce the time and effort needed for developing and deploying distributed simulation applications and will lay the groundwork for knowledge sharing, communication, and semantic integration among modeling and simulation applications.

Hybrid Framework for Information Visualization Enablers (HI-FIVE)

KBSI is designing a novel, model-based, “no-programming required” approach to information visualization. HI-FIVE provides an extendible framework for rapidly developing, configuring, and managing data displays, enabling the understanding of “system of systems” data.

Software Tool for Efficient Airspace Management (STEAM™)

KBSI is developing a software system that applies robust decision support tools, data mining, and statiscal methods to the intelligent management of special use airspace (SUA).

Advanced MRO Multi-echelon Planning & Scheduling (ProPlan 21)

KBSI is researching and proofing concepts for an advanced maintenance, repair, and overhaul based multi-echelon planning and analysis technology. The ProPlan 21 technology provides technology for the rapid definition, creation, and editing of constraint based MRO plans, enabling advanced constraint-management-based plan analysis and plan execution for depot management decision support across all production echelons.

Battlespace Superiority through Better Decision Making (SuperCision™)

KBSI is applying its expertise in data mining, Bayesian nets, and situation theory, and the novel use of commercial gaming technologies, in developing a training system to support the assessment and improvement of decision making skills. SuperCision™ methods and tools will provide an unprecedented ability for conducting scenario-based training and for significantly reducing the time and effort needed to create training scenarios tailored to meet the needs of individual trainees and the objectives of the training exercise.

Toolkit for Agent-based Knowledge Extraction (TAKE™)

KBSI applied a hybrid approach that combines ontology engineering methods with cutting-edge knowledge discovery techniques to extract, analyze, and map ontologies from distributed and disparate knowledge and data sources. The TAKE™ technology enables the rapid and cost effective analysis, redesign, integration and/or reengineering of complex systems.

Toolkit for Enabling Adaptive Modeling & Simulation (TEAMS™)

KBSI developed a decision support tool that uses simulation to help NASA's Kennedy Space Center (KSC) model and simulate various activities associated with the spaceport project operations, improving decision making in areas like space vehicle mix impact, launch rates, asset utilization, and spaceport life cycle costs.

Transformation in Maintenance and Repair (XFMR)

KBSI is examining the methods and technologies required to transform Air Logistics Center (ALC) operations to a warrior-centric, highly adaptive, and more efficient sustainment enterprise activities. The XFMR solution concept allows for interactive critical chain resequencing, constraint violation identification, and automated and optimized critical chain plan option generation.

Adaptive Trajectory Reshaping and Control System (ATRC)

KBSI developed requirements for the design, development and demonstration of algorithms and real time solution techniques for an adaptable and reconfigurable Reusable Launch Vehicle (RLV) command, control, and guidance system.

Faraday Chromate

KBSI is performing analyses of Electro Impedance Spectroscopy (EIS) data in order to study the effectiveness and life of particular coatings on accelerated corrosion environments.

Generalized Event Representation Modeling and Analysis Tool (GERMAT™)

KBSI developed decision aids for the automated design and generation of intelligent information processing agents. The GERMAT™ technology provides knowledge-based assistance to neural network and fuzzy logic modeling, helping the U.S. Army to significantly improve battleground classification, target/decoy recognition and discrimination, logistics forecasting, intelligent data fusion, data mining, knowledge discovery, and optimization.

Hybrid Decision Wizard (HDWizard™)

KBSI developed, built, and validated a hybrid decision support toolkit that utilizes a combination of common sense reasoning, domain knowledge based reasoning, and soft computing techniques to support intelligent decision making. The HDWizard™ technology is an agent-based decision support system that facilitates the automated generation of information from disparate and distributed data to support user-defined decision support goals.

Hybrid Framework for Information Visualization Enablers (HI-FIVE)

KBSI is designing a novel, model-based, “no-programming required” approach to information visualization. HI-FIVE provides an extendible framework for rapidly developing, configuring, and managing data displays, enabling the understanding of “system of systems” data.

Intelligent Asset Tracking and Management System (IATMS)

KBSI developed a unified framework for geolocation knowledge that provides instant visualization of MRO assets, improving asset utilization and scheduling and MRO flow-times. The IATMS technology also allows for knowledge discovery of equipment-task and equipment-resource relationships using geolocation data and other external data sources.

Knowledge Discovery Wizard (KDWIZARD)

KBSI designed, developed, and validated an adaptive framework for knowledge discovery. This framework provides mechanisms for generating knowledge-discovery applications beginning with end-user specifications of decision objectives and sets of data sources, provides users with a larger and more focused selection of decision alternatives.

Adaptive Toolkit for Pattern Discovery (ATPD)

KBSI is combining new machine learning techniques with advanced rule based methods for automated data utilization pattern discovery. The ATPD technology will allow users to monitor information use, discover patterns in that use, and develop ontology models that reflect discovered relations and patterns.

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Solutions & Services

Research Initiatives