Action rules mining:
<p>We are surrounded by data, numerical, categorical and otherwise, which must to be analyzed and processed to convert it into information that instructs, answers or aids understanding and decision making. Data analysts in many disciplines such as business, education or medicine, are frequentl...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2013
|
| Schriftenreihe: | Studies in computational intelligence
468 |
| Schlagworte: | |
| Online-Zugang: | BTU01 FHA01 FHI01 FHN01 FHR01 FKE01 FWS01 UBY01 Volltext Abstract |
| Zusammenfassung: | <p>We are surrounded by data, numerical, categorical and otherwise, which must to be analyzed and processed to convert it into information that instructs, answers or aids understanding and decision making. Data analysts in many disciplines such as business, education or medicine, are frequently asked to analyze new data sets which are often composed of numerous tables possessing different properties. They try to find completely new correlations between attributes and show new possibilities for users.</p><p><i> </i></p><p><i>Action rules mining</i> discusses some of data mining and knowledge discovery principles and then describe representative concepts, methods and algorithms connected with action. The author introduces the formal definition of action rule, notion of a simple association action rule and a representative action rule, the cost of association action rule, and gives a strategy how to construct simple association action rules of a lowest cost. A new approach for generating action rules from datasets with numerical attributes by incorporating a tree classifier and a pruning step based on meta-actions is also presented. In this book we can find fundamental concepts necessary for designing, using and implementing action rules as well. Detailed algorithms are provided with necessary explanation and illustrative examples.</p> |
| Beschreibung: | 1 Online-Ressource (X, 95 p) digital |
| ISBN: | 9783642356506 |
| DOI: | 10.1007/978-3-642-35650-6 |
Internformat
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| adam_text | ACTION RULES MINING
/ DARDZINSKA, AGNIESZKA
: 2013
ABSTRACT / INHALTSTEXT
WE ARE SURROUNDED BY DATA, NUMERICAL, CATEGORICAL AND OTHERWISE, WHICH
MUST TO BE ANALYZED AND PROCESSED TO CONVERT IT INTO INFORMATION THAT
INSTRUCTS, ANSWERS OR AIDS UNDERSTANDING AND DECISION MAKING. DATA
ANALYSTS IN MANY DISCIPLINES SUCH AS BUSINESS, EDUCATION OR MEDICINE,
ARE FREQUENTLY ASKED TO ANALYZE NEW DATA SETS WHICH ARE OFTEN COMPOSED
OF NUMEROUS TABLES POSSESSING DIFFERENT PROPERTIES. THEY TRY TO FIND
COMPLETELY NEW CORRELATIONS BETWEEN ATTRIBUTES AND SHOW NEW
POSSIBILITIES FOR USERS. ACTION RULES MINING DISCUSSES SOME OF DATA
MINING AND KNOWLEDGE DISCOVERY PRINCIPLES AND THEN DESCRIBE
REPRESENTATIVE CONCEPTS, METHODS AND ALGORITHMS CONNECTED WITH ACTION.
THE AUTHOR INTRODUCES THE FORMAL DEFINITION OF ACTION RULE, NOTION OF A
SIMPLE ASSOCIATION ACTION RULE AND A REPRESENTATIVE ACTION RULE, THE
COST OF ASSOCIATION ACTION RULE, AND GIVES A STRATEGY HOW TO CONSTRUCT
SIMPLE ASSOCIATION ACTION RULES OF A LOWEST COST. A NEW APPROACH FOR
GENERATING ACTION RULES FROM DATASETS WITH NUMERICAL ATTRIBUTES BY
INCORPORATING A TREE CLASSIFIER AND A PRUNING STEP BASED ON META-ACTIONS
IS ALSO PRESENTED. IN THIS BOOK WE CAN FIND FUNDAMENTAL CONCEPTS
NECESSARY FOR DESIGNING, USING AND IMPLEMENTING ACTION RULES AS WELL.
DETAILED ALGORITHMS ARE PROVIDED WITH NECESSARY EXPLANATION AND
ILLUSTRATIVE EXAMPLES
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
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| author | Dardzinska, Agnieszka |
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| building | Verbundindex |
| bvnumber | BV040966826 |
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| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1007/978-3-642-35650-6 |
| format | Electronic eBook |
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| id | DE-604.BV040966826 |
| illustrated | Not Illustrated |
| indexdate | 2024-08-01T16:14:46Z |
| institution | BVB |
| isbn | 9783642356506 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-025945098 |
| oclc_num | 827054280 |
| open_access_boolean | |
| owner | DE-898 DE-BY-UBR DE-634 DE-573 DE-92 DE-Aug4 DE-859 DE-706 DE-863 DE-BY-FWS |
| owner_facet | DE-898 DE-BY-UBR DE-634 DE-573 DE-92 DE-Aug4 DE-859 DE-706 DE-863 DE-BY-FWS |
| physical | 1 Online-Ressource (X, 95 p) digital |
| psigel | ZDB-2-ENG |
| publishDate | 2013 |
| publishDateSearch | 2013 |
| publishDateSort | 2013 |
| publisher | Springer |
| record_format | marc |
| series | Studies in computational intelligence |
| series2 | Studies in computational intelligence |
| spellingShingle | Dardzinska, Agnieszka Action rules mining Studies in computational intelligence Ingenieurwissenschaften Künstliche Intelligenz Engineering Artificial intelligence |
| title | Action rules mining |
| title_auth | Action rules mining |
| title_exact_search | Action rules mining |
| title_full | Action rules mining Agnieszka Dardzinska |
| title_fullStr | Action rules mining Agnieszka Dardzinska |
| title_full_unstemmed | Action rules mining Agnieszka Dardzinska |
| title_short | Action rules mining |
| title_sort | action rules mining |
| topic | Ingenieurwissenschaften Künstliche Intelligenz Engineering Artificial intelligence |
| topic_facet | Ingenieurwissenschaften Künstliche Intelligenz Engineering Artificial intelligence |
| url | https://doi.org/10.1007/978-3-642-35650-6 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=025945098&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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