A data mining expert witness typically has extensive experience and possesses a background in software engineering, big data, machine learning, digital forensics, computer science, software, data science, and/or have specialized knowledge in data mining.
A subfield of computer science, data mining is a process used to turn raw data into useful information by using software to discover patterns in a large data set. Data mining connects machine learning, statistics, and databases. Data mining software builds machine learning models that power applications such as search engine technology and website recommendation programs.
Many industries and applications can benefit from data mining. In the business world, data mining software can analyze historical information, including market analysis, fraud detection, consumer behavior, and purchase trends. Data mining is also used in the areas of science and engineering, including bioinformatics, genetics, medicine, and education. Spatial data mining finds data patterns with respect to geography and can work together with Geographic Information Systems (GIS) technology.
Often, matters requiring data mining expert witness work involve patent infringement litigation. Expert witness services by a data mining expert witness could include an expert report, expert opinion, and/or expert testimony. In a high-profile case, or litigation involving a significant financial stake, an attorney may require a testifying expert with prior expert witness testimony experience. In addition, clients often seek an industry expert for pre-litigation consulting work.
While many experts have data mining expertise, an expert witness carries the additional responsibility of providing testimony before the court in a manner whereby lay people can understand the technology and evidence.
Please Note: All Cahn Litigation expert witness searches are customized to attorneys' precise specifications and preferences. Attorneys are encouraged to discuss search parameters with a Cahn search specialist.
The below expert witness bios represent a small fraction of those Data Mining experts known by Cahn Litigation Services. These bios are provided to give attorneys a sense of the Data Mining landscape.
This expert holds a Ph.D. in Information Studies. This expert has a very deep understanding of search and IR systems. This expert has extensive prior litigation experience as a testifier and written over a dozen (non)-infringement reports, including some for search engine companies.
This expert is a consultant specializing in software research and development focusing on search systems, information analytics, user experience design, semantic and knowledge management technologies as well as intellectual property analysis. This expert specializes in:
This expert has also performed an exploratory study investigating the purchasing of sponsored search advertising for a major university's academic department. The ad campaign used Google's AdWord service with the goal of increasing awareness of the academic department and encouraging potential graduate admissions or admissions inquiries. A behavioral model of information seeking is suggested that could be applied for selecting appropriate types of online advertising for awareness and other advertising goals.
This expert was a professor in the School of Information at a University where teaching and research focused on designing Web information architectures, information systems analysis, Information Retrieval, the Semantic Web and Knowledge Management Systems. This expert is formerly the Director of Advanced Development at a company that specialized in personalized information retrieval applications. This expert is also an author of many research publications. This expert received a doctorate focusing on Knowledge Discovery (Data Mining) for Informetric and Behavioral Models of Web Use.
In the nascent days of the World Wide Web, this expert was a Lead Technical Architect, working on a Multimedia Encyclopedia and other large-scale information architecture, system architecture and development projects. This expert worked as a Methodologist designing CASE tools for client-server applications as well as doing usability, hypertext and multimedia development research. This expert also worked on a number of commercial software applications.
This expert holds a Ph.D. in Computer Science and is a Professor in the Department of Computer Science at a major university. This expert's current research interests are at the intersection of databases and artificial intelligence, including optimization. This expert has a great deal of expertise in the dialog systems component that models the series of voice interfaces, facilitating occurring interactions. Voice dialogs form one of many mechanisms through which a user can interact with interactive multimedia presentation systems (IMPS), and over the years, this expert has worked extensively with IMPS and written several papers on this subject. This expert is author of one of the best known books on multimedia databases, as well as one on advanced databases, a key component to all dialog systems. This expert is the named inventor of a patent pertaining to mining user interactions. In addition, this expert has worked extensively in the general area of data mining for a wide variety of human behavior modeling. As an expert witness, this expert has experience with both invalidity and infringement issues, has written associated reports and has served as a technical expert in front of the USPTO.
This expert is an Associate Professor of Information Science and an affiliate member of Computer Science at a University. This expert's research interests include studies of interactive information retrieval/seeking, especially those involving social and collaborative aspects. This expert studies social media and data generated by wearable devices as kinds of signals that can help us understand and impact human behaviors. This expert teaches in Information Science and Data Science programs (at undergraduate and graduate levels), and this expert's research falls under and uniquely connects Computer Science, Data Science, and Information Science.
This expert received a PhD in Information Science, an MTech, Computer Science & Engineering, and an MS, Computer Science. This expert has published and talked extensively on topics related to social and collaborative information seeking, interactive information retrieval, and social media. This expert has served as a consultant to an international organization on various Data Science projects involving social and political issues, peacekeeping, climate change, and energy.
This expert is interested in various aspects of information seeking/retrieval, in personal, group, and social contexts. In addition to looking at information being generated and shared in online environments as a part of Information Science, this expert investigates ways to collect and transform data to meaningful information under the broad label of Data Science. This involves Big Data analytics, mobile and sensor-based data collection, and data mining and machine learning techniques. Finally, this expert is interested in investigating how data, information, and knowledge influences people's, organizations', and communities' behaviors as a part of what this expert refers to as Decision Science. This expert tries to keep a balance between studying systems and users, designing algorithms and theories, and building tools and conducting user studies.
This expert holds a Ph.D. in computer science and is the co-founder of a leading software and technology consulting firm and a lecturer and researcher at a University. This expert provides advice on technical, business, and intellectual property strategy to e-commerce startups and also works as an expert witness on patent infringement cases. This expert’s research interests include electronic commerce, interoperability of heterogeneous databases, database integration, object-oriented databases, database implementation, databases on parallel computers, federated autonomous databases, database views including updates, incomplete information and nulls, software integration and reuse, and large system integration.
This expert has been:
Chief Technical Advisor of a software company, which was the technology leader in the Transactional Application Server market, providing a foundation for distributed computing. This company accelerated the development and deployment of high-performance distributed systems.
Co-Founder, COO and CFO of a company that developed applications for the business to business e-commerce market. Its applications address the challenge of creating, operating, and maintaining industry catalogs for Internet market makers.
Advisor to a company that created an integrated demand profit management system that captures real-time demand data and through patent-pending applications determines optimum inventory allocation and replenishment drivers in high velocity value chains.
Co-inventor of technology for a "do not spam" registry. This technology was licensed.
Co-founder of a company which provided free Internet access to hotel guests through their in-room Internet Appliance with proprietary software using a custom advertising delivery system.
Co-Founder and co-inventor of a startup that offered targeted promotions based on its purchase mining technology.
This expert managed a University’s efforts on collaborative engineering, workflow, and database security and coordinated relationships with industry. This expert was project manager for an effort that included research on searchable online catalogs, providing services over the Internet, and concurrent engineering. This expert collaborated on a project on integration of heterogeneous databases for information finding and distributed constraints, and collaborated on a project on version and configuration management and distributed constraints for collaborative design. This expert previously managed a project on interoperability of object-oriented and relational databases, a project on federated autonomous databases, a project performing research on databases on parallel computers, and the development of a formally specified, modular database system that includes multiple interfaces at multiple levels as well as support for database security and integrity.