Abraham Bernstein, Shawndra Hill, and Foster Provost. An intelligent assistant for the knowledge discovery process. Technical Report IS02-02, New York University, Leonard Stern School of Business, 2002. Home/Search Document Details and Download
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The MiningMart Approach to Knowledge Discovery in Databases - Morik, Scholz (2003) (4 citations) (Correct)
....algorithms and datasets [2] Although successful in many respects, there is not enough knowledge available in order to propose the correct combination of preprocessing operations for a given dataset and task. The IDEA system now tries the bottom up exploration of the space of preprocessing chains [1]. Ideally, the system would evaluate all possible transformations in parallel, and propose the most successful sequence of preprocessing steps to the user. For short sequences and few algorithms, this approach is feasible. Problems like the collection of all data concerning one customer (or ....
....databases. In contrast, MiningMart compiles a successful case together with a meta model of new data into a running new KDD case. We believe that the re use of best practice cases and the case documentation is extremely important. The recent Idea system is also similar to the MiningMart approach [1]. Chains of operators are composed according to a ranking of algorithms in order to detect the best choice of an algorithm given data characteristics. Meta data describing the data as well as the algorithms are used in order to check the validity of operator sequences or incorporate an additional ....
Abraham Bernstein, Shawndra Hill, and Foster Provost. An Intelligent Assistant for the Knowledge Discovery Process. Technical Report IS02-02, New York University, Leonard Stern School of Business, 2002.
Closing the Loop: Heuristics for Autonomous Discovery - Gary Livingston John (2001) (Correct)
....as COMBS and CLIMBS [7] and multistrategy and KDD planning systems that may perform more than one task but require a user to examine their results and select new discovery goals. Then come intelligent assistant programs, such as Shen s assistant for defining metapatterns [8] AIDE [9] and IDEA [10] , which propose new tasks but still require a user to choose the next task and to select top level goals. Toward the end of this spectrum lies HAMB, which autonomously performs the entire discovery process (after the datasets have been collected and verified) 5.2. Scaling up and future work ....
Bernstein, A. and Provost, F. 2001. An Intelligent Assistant for the Knowledge Discovery Process. In Proc. of the IJCAI-01 Workshop on Wrappers for Performance Enhancement in KDD, Seattle, WA, Aug. 4. Morgan Kaufmann.
Closing the Loop: an Agenda- and Justification-Based.. - Livingston, al. (2001) (Correct)
....the four versions of HAMB. Interestingness is the sum of the category numbers assigned by Dr. Rosenberg to the discoveries reported by the four versions of HAMB. Discovery cycle is the discovery cycle before which the discoveries are reported. for defining metapatterns [13] AIDE [14] and IDEA [15], which propose new tasks but still require a user to choose the next task and to select top level goals. Toward the end of this spectrum lies HAMB, which autonomously performs the entire discovery process (after the datasets have been collected and verified) 5.2. Scaling up and future work The ....
Bernstein, A. and Provost, F. 2001. An Intelligent Assistant for the Knowledge Discovery Process. In Proc. of the IJCAI-01 Workshop on Wrappers for Performance Enhancement in KDD, Seattle, WA, Aug. 4. Morgan Kaufmann.
MiningMart: Sharing Successful KDD Processes - Timm Euler Katharina (Correct)
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Abraham Bernstein, Shawndra Hill, and Foster Provost. An intelligent assistant for the knowledge discovery process. Technical Report IS02-02, New York University, Leonard Stern School of Business, 2002.
The MiningMart Approach to Knowledge - Discovery In Databases (Correct)
No context found.
Abraham Bernstein, Shawndra Hill, and Foster Provost. An Intelligent Assistant for the Knowledge Discovery Process. Technical Report IS02-02, New York University, Leonard Stern School of Business, 2002.
MiningMart: Sharing Successful KDD Processes - Euler, Morik, Scholz (2003) (Correct)
No context found.
Abraham Bernstein, Shawndra Hill, and Foster Provost. An intelligent assistant for the knowledge discovery process. Technical Report IS02-02, New York University, Leonard Stern School of Business, 2002.
The MiningMart Approach to Knowledge Discovery in Databases - MORIK, SCHOLZ (2004) (4 citations) (Correct)
No context found.
Abraham Bernstein, Shawndra Hill, and Foster Provost. An Intelligent Assistant for the Knowledge Discovery Process. Technical Report IS02-02, New York University, Leonard Stern School of Business, 2002.
MiningMart: Sharing Successful KDD Processes - Euler, Morik, Scholz (Correct)
No context found.
Abraham Bernstein, Shawndra Hill, and Foster Provost. An intelligent assistant for the knowledge discovery process. Technical Report IS02-02, New York University, Leonard Stern School of Business, 2002.
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