M
Michael Donald Pfeifer
Researcher at IBM
Publications - 35
Citations - 486
Michael Donald Pfeifer is an academic researcher from IBM. The author has contributed to research in topics: Debugging & Database tuning. The author has an hindex of 12, co-authored 35 publications receiving 486 citations.
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Patent
Answer management in a question-answering environment
TL;DR: In this paper, a set of answer categories for a question-answering environment can be sorted based on the subject matter of the question and the answer categories, such that a first set of answers into a first answer category and a second set of responses into a second answer category.
Patent
Application monitoring in a stream database environment
TL;DR: In this paper, a graphical user interface display presents a user with at least a portion of an operator graph in a running stream application, representing the plurality of processing elements and links between processing elements, corresponding to a flow of data tuples through the stream application.
Patent
System and method for building a computer-based rete pattern matching network
TL;DR: In this article, a computer-based system and method for building a Rete-based network is presented, which allows an expert system developer to enter rules that are formatted in conjunctive, disjunctive and negated form.
Patent
Apparatus and method for database execution detail repository
Mark John Anderson,Robert Joseph Bestgen,Daniel E. Beuch,Curtis Neal Boger,James Michael Flanagan,Scott Forstie,Shantan Kethireddy,Thomas Owen McKinley,Michael Donald Pfeifer +8 more
TL;DR: In this paper, the authors propose to store execution detail in the access plan cache along with the query statement, so that the execution detail is available when needed to debug database problems, even after a problem occurs.
Patent
Stream application performance monitoring metrics
TL;DR: In this paper, a processing element configured to process data tuples flowing through a stream-based computing system receives tuples via the data stream, and each of the one or more tuples are associated with metadata that includes information related to the processing of the tuple by the processing element.