Robert Lee Angell

What is he best known for?

The fields of study he is best known for:

• Artificial intelligence
• Marketing
• Information technology

Robert Lee Angell focuses on Set, Marketing, Customer reference program, Customer intelligence and Cohort. His Set study spans across into areas like Data mining, USable, Computer program and Artificial intelligence. His Data mining research incorporates themes from Object, Digital video, Video based and Set.

While the research belongs to areas of Customer reference program, Robert Lee Angell spends his time largely on the problem of Voice of the customer, intersecting his research to questions surrounding Conversion marketing. His Cohort research is multidisciplinary, incorporating elements of Event, Metadata and Pattern recognition. The various areas that Robert Lee Angell examines in his Metadata study include Respiratory system and Emergency medicine.

His most cited work include:

• Automatic generation of new rules for processing synthetic events using computer-based learning processes (76 citations)
• Synthetic Events For Real Time Patient Analysis (72 citations)
• Method and apparatus for identifying customer behavioral types from a continuous video stream for use in optimizing loss leader merchandizing (72 citations)

What are the main themes of his work throughout his whole career to date?

Robert Lee Angell mainly investigates Set, Data mining, Metadata, Cohort and USable. His Set study overlaps with Computer program, Product, Marketing, Personalized marketing and Artificial intelligence. His study brings together the fields of Event and Data mining.

His Metadata research also works with subjects such as

• Digital video that intertwine with fields like Video based,
• Facial expression most often made with reference to Set. The study incorporates disciplines such as Inference engine and Risk assessment in addition to Cohort. His USable research spans across into areas like Process, Event data and Program code.

He most often published in these fields:

• Set (58.59%)
• Data mining (37.37%)
• Metadata (24.24%)

What were the highlights of his more recent work (between 2007-2017)?

• Set (58.59%)
• Data mining (37.37%)
• Cohort (23.23%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Set, Data mining, Cohort, Computer program and Metadata. Set is intertwined with Product, Artificial intelligence, Medical literature, Analytics and Medical physics in his research. His studies in Artificial intelligence integrate themes in fields like Digital video, Computer vision and Pattern recognition.

His studies deal with areas such as Event and Biometrics as well as Data mining. His study in Cohort is interdisciplinary in nature, drawing from both Inference engine and Risk assessment. His work carried out in the field of Metadata brings together such families of science as Digital sensors, Program code, Respiratory system and Emergency medicine.

Between 2007 and 2017, his most popular works were:

• Automatic generation of new rules for processing synthetic events using computer-based learning processes (76 citations)
• Synthetic Events For Real Time Patient Analysis (72 citations)
• Detecting behavioral deviations by measuring respiratory patterns in cohort groups (59 citations)