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. In addition, data mining tools can help to predict 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 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 has the necessary expertise in data mining and analytics to develop advanced modeling, simulation and data mining capabilities and 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 Design and Data Mining Research for BATC

KBSI is researching the application of advanced semantic technologies to layered sensing networks (LSN) and the use of data mining technologies for discovering and extracting information from large data stores. Research on semantic technologies will include the automatic generation of ontologies or ontology fragments from unprocessed data sources.

Disaster Case Management Platform (DCP)

KBSI is designing and developing a Disaster Case Management Platform (DCP) that supports the life cycle of disaster case management, providing advanced, customizable reporting and analytics to facilitate resource optimization, templates and statistical parameter estimation for different disaster scenarios, as well as the analysis of factors affecting the success of case management. The DCP will improve the efficiency of the disaster case management (DCM) process by assisting relief agencies in identifying, delivering and closing out services to individuals adversely impacted by disasters nationwide.

Best Practice ISEN Simulation Support for Work Center Planning (RISE)

This initiative is focusing on identifying/defining best practices in the application of simulation modeling and analysis support for work center planning activities and decision making at the Oklahoma City Air Logistics Center (OC-ALC). This initiative will demonstrate, using a current OC-ALC work center planning problem, the application of the discovered simulation modeling best practices and develop a recommended set of requirements and actions that will allow OC-ALC to move towards that best-practice state.

Open-Source Information Tactical Exploitation (ONSITE)

KBSI is researching, designing, and demonstrating technology that uses an innovative approach to natural language processing (NLP) to enable state of the art processing rates for the automated understanding of natural language in support of military tactical operations. The ONSITE initiative is investigating a specially constructed ontology that will lead to higher processing throughput and increased semantic resolution of extracted information.

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.

Human Enemy Network Influence Operations Map (HEN-IO-MAP)

KBSI is researching and designing and demonstrating an advanced utility-theoretic preference model for influence operations (IO) modeling. The HEN-IO-MAP system will apply utility theoretic models in creating a human enemy network influence operations map that incorporates cultural, social, and other factors using a simple knowledge acquisition process. The system will assist influence operations (IO) planners in the evaluation and formulation of influence operations.

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.

Entropy-Trust-Homology Operational Security (ETHOS™)

KBSI investigated various trust metrics and algorithms with the goal of defining a set of trust metrics that use information entropy as the basis for the calculations of the reputation of a node in a sensor network. Trust entropy metrics were created based on the pattern of information entropy flow between nodes and on usage behavior.

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.

Netcentric Operations Defense Environment (NODE™)

KBSI developed a system that uses data mining and machine learning technologies to provide a more advanced and adaptable computer network defense. Current approaches to network security focus on characterizing known attack exploits and on a perimeter-based defense, making them vulnerable to new attack variants and leaving them open to integrity compromises and insider attacks. NODE™ addresses these shortcomings by executing data mining and machine learning technologies and algorithms over the network hosts: i.e., over the entire computing fabric.

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 (ProPlan21)

KBSI is researching and proofing concepts for an advanced maintenance, repair, and overhaul based multi-echelon planning and analysis technology. ProPlan21 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.

Donor Profile Database (DPD)

KBSI developed a universal, integrated blood Donor Profile Database (DPD) that captures and maintain information about blood donor identity, deferrals, health and travel history, etc. and make this information widely accessible to a network of blood centers. DPD allows blood centers to maintain the consistency and integrity of blood product data and to maintain global connectivity, providing access to blood product history for global screenings and deferrals.

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.

Framework for Enabling Adaptive Scenario Generation for Training (FEAST)

KBSI is designing an innovative methodology that enables dynamic scenario generation and adaptation for individual and team learning in simulation-based environments.

Generalized Event Representation Modeling and Analysis Tool (GERMAT™)

KBSI developed decision aids for the automated design and generation of intelligent information processing agents. GERMAT™ 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.

Geopolitical Region of Interest Projection System (GRIPS)

KBSI developed methodology and tool suite that allows military planners to consistently define, systematically evaluate, and globally share data concerning future geo-political contexts. This new planning environment, with improved quantitative analysis and knowledge sharing capabilities, produces higher quality products in standardized formats to help military planners evaluate the context or future conditions for the force plans being developed.

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. HDWizard™ 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.

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.

Medical Materiel Knowledge Discoverer (MMKD)

KBSI developed a knowledge discovery system that goes beyond simple data mining to help the Department of Defense (DoD) Medical Logistics community meet the logistical challenges that follow from the new emphasis on the rapid deployment of troops in an ever widening variety of scenarios and locales.

Multi-Spectral Feature Fusion Framework (MSFF)

KBSI developed an innovative Multi-Spectral Feature Fusion (MSFF) framework for the automatic fusion of mission-critical data from hyper spectral data sources. The MSFF framework improves target detection from data that has been obtained from sensors with a wide diapason spectrum.

Reliability Centered Maintenance Costing (RCMC™)

KBSI developed the methods and tools needed to support the critical knowledge discovery, cost modeling, and maintenance cost projection needed by Reliability Centered Maintenance (RCM) decision makers. The RCMC™ methodology considers the effects of possible maintenance actions--including the risk of not performing those maintenance actions--on aggregate level metrics like engine availability, performance, and life cycle costs.

Environment, Epidemiology, and Etiology Surveillance and Analysis Toolkit (E3SAT)

In the Environment, Epidemiology, and Etiology Surveillance and Analysis Toolkit (E3SAT) project, KBSI is designing and developing a tool suite that allows researchers to collect, integrate and data mine medical records, environmental exposures, and deployment locations.

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.

Pathfinder

KBSI designed and developed a comprehensive suite of technologies for life-cycle cost justification, cost/benefit analysis, integrated performance prediction, quantified trade-off analysis, and management decision-making for individual project selection, monitoring, and control. Pathfinder addressed the need for life cycle costing in depot environments, where the operational benefits of acquiring and maintaining weapons systems must be continually balanced.

Environment, Epidemiology, and Etiology Surveillance and Analysis Toolkit (E3SAT)

In the Environment, Epidemiology, and Etiology Surveillance and Analysis Toolkit (E3SAT) project, KBSI is designing and developing a tool suite that allows researchers to collect, integrate and data mine medical records, environmental exposures, and deployment locations.

Toolkit for Intelligent Combat Planning & Simulation (TINCOPS)

KBSI developed a robust decision support system for creating thorough and flexible combat mission plans. TINCOPS is a knowledge-based computer-aid that manages and deploys knowledge for the U.S. military's complex combat decision support applications and for analyzing and evaluating logistics plans.

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Solutions & Services

Research Initiatives