Interactive Knowledge Discovery and Data Mining in Biomedical Informatics: State-of-the-Art and Future Challenges
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Heidelberg
Springer
2014
|
| Schriftenreihe: | Lecture notes in computer science
8401 : State-of-the-art survey |
| Schlagworte: | |
| Online-Zugang: | DE-634 DE-M347 DE-92 DE-859 DE-861 DE-91 DE-384 DE-473 DE-703 DE-20 DE-706 DE-29 DE-739 Volltext Inhaltsverzeichnis Abstract |
| Beschreibung: | 1 Online-Ressource (XX, 356 S.) |
| ISBN: | 9783662439685 |
| DOI: | 10.1007/978-3-662-43968-5 |
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Datensatz im Suchindex
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| adam_text |
INTERACTIVE KNOWLEDGE DISCOVERY AND DATA MINING IN BIOMEDICAL
INFORMATICS
/
: 2014
TABLE OF CONTENTS / INHALTSVERZEICHNIS
KNOWLEDGE DISCOVERY AND DATA MINING IN BIOMEDICAL INFORMATICS: THE
FUTURE IS IN INTEGRATIVE, INTERACTIVE MACHINE LEARNING SOLUTIONS
VISUAL DATA MINING: EFFECTIVE EXPLORATION OF THE BIOLOGICAL UNIVERSE
DARWIN OR LAMARCK? FUTURE CHALLENGES IN EVOLUTIONARY ALGORITHMS FOR
KNOWLEDGE DISCOVERY AND DATA MINING
ON THE GENERATION OF POINT CLOUD DATA SETS: STEP ONE IN THE KNOWLEDGE
DISCOVERY PROCESS
ADAPTED FEATURES AND INSTANCE SELECTION FOR IMPROVING CO-TRAINING
KNOWLEDGE DISCOVERY AND VISUALIZATION OF CLUSTERS FOR ERYTHROMYCIN
RELATED ADVERSE EVENTS IN THE FDA DRUG ADVERSE EVENT REPORTING SYSTEM
ON COMPUTATIONALLY-ENHANCED VISUAL ANALYSIS OF HETEROGENEOUS DATA AND
ITS APPLICATION IN BIOMEDICAL INFORMATICS
A POLICY-BASED CLEANSING AND INTEGRATION FRAMEWORK FOR LABOUR AND
HEALTHCARE DATA
INTERACTIVE DATA EXPLORATION USING PATTERN MINING
RESOURCES FOR STUDYING STATISTICAL ANALYSIS OF BIOMEDICAL DATA AND R
A KERNEL-BASED FRAMEWORK FOR MEDICAL BIG-DATA ANALYTICS
ON ENTROPY-BASED DATA MINING
SPARSE INVERSE COVARIANCE ESTIMATION FOR GRAPH REPRESENTATION OF FEATURE
STRUCTURE
MULTI-TOUCH GRAPH-BASED INTERACTION FOR KNOWLEDGE DISCOVERY ON MOBILE
DEVICES: STATE-OF-THE-ART AND FUTURE CHALLENGES
INTELLIGENT INTEGRATIVE KNOWLEDGE BASES: BRIDGING GENOMICS, INTEGRATIVE
BIOLOGY AND TRANSLATIONAL MEDICINE
BIOMEDICAL TEXT MINING: STATE-OF-THE-ART, OPEN PROBLEMS AND FUTURE
CHALLENGES
PROTECTING ANONYMITY IN DATA-DRIVEN BIOMEDICAL SCIENCE
BIOBANKS – A SOURCE OF LARGE BIOLOGICAL DATA SETS: OPEN PROBLEMS AND
FUTURE CHALLENGES
ON TOPOLOGICAL DATA MINING
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
INTERACTIVE KNOWLEDGE DISCOVERY AND DATA MINING IN BIOMEDICAL
INFORMATICS
/
: 2014
ABSTRACT / INHALTSTEXT
ONE OF THE GRAND CHALLENGES IN OUR DIGITAL WORLD ARE THE LARGE, COMPLEX,
AND OFTEN WEAKLY STRUCTURED DATA SETS AND MASSIVE AMOUNTS OF
UNSTRUCTURED INFORMATION. THIS “BIG DATA” CHALLENGE IS MOST EVIDENT
IN BIOMEDICAL INFORMATICS: THE TREND TOWARD PRECISION MEDICINE HAS
RESULTED IN AN EXPLOSION IN THE AMOUNT OF BIOMEDICAL DATA SETS
GENERATED. DESPITE THE FACT THAT HUMAN EXPERTS ARE VERY GOOD AT PATTERN
RECOGNITION IN THREE DIMENSIONS OR LESS, MOST OF THE DATA ARE
HIGH-DIMENSIONAL, WHICH MAKES MANUAL ANALYSIS OFTEN IMPOSSIBLE AND
NEITHER THE MEDICAL DOCTOR NOR THE BIOMEDICAL RESEARCHER CAN MEMORIZE
ALL THESE FACTS. A SYNERGISTIC COMBINATION OF THE METHODOLOGIES AND
APPROACHES OF TWO FIELDS OFFER IDEAL CONDITIONS FOR UNRAVELING THESE
PROBLEMS: HUMAN–COMPUTER INTERACTION (HCI) AND KNOWLEDGE
DISCOVERY/DATA MINING (KDD), WITH THE GOAL OF SUPPORTING HUMAN
CAPABILITIES WITH MACHINE LEARNING. THIS STATE-OF-THE-ART SURVEY IS AN
OUTPUT OF THE HCI-KDD EXPERT NETWORK AND FEATURES 19 CAREFULLY SELECTED
AND REVIEWED PAPERS RELATED TO SEVEN HOT AND PROMISING RESEARCH AREAS:
(1) DATA INTEGRATION, DATA PRE-PROCESSING, AND DATA MAPPING; (2) DATA
MINING ALGORITHMS; (3) GRAPH-BASED DATA MINING; (4) ENTROPY-BASED DATA
MINING; (5) TOPOLOGICAL DATA MINING; (6) VISUALIZATION; (7) PRIVACY,
DATA PROTECTION, SAFETY, AND SECURITY.
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. |
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| publishDateSort | 2014 |
| publisher | Springer |
| record_format | marc |
| series | Lecture notes in computer science |
| series2 | Lecture notes in computer science |
| spelling | Interactive Knowledge Discovery and Data Mining in Biomedical Informatics State-of-the-Art and Future Challenges Heidelberg Springer 2014 1 Online-Ressource (XX, 356 S.) txt rdacontent c rdamedia cr rdacarrier Lecture notes in computer science 8401 : State-of-the-art survey Data Mining (DE-588)4428654-5 gnd rswk-swf Wissensextraktion (DE-588)4546354-2 gnd rswk-swf Biomedizin (DE-588)4647152-2 gnd rswk-swf Medizinische Informatik (DE-588)4038261-8 gnd rswk-swf Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Medizinische Informatik (DE-588)4038261-8 s Biomedizin (DE-588)4647152-2 s Data Mining (DE-588)4428654-5 s Wissensextraktion (DE-588)4546354-2 s Mensch-Maschine-Kommunikation (DE-588)4125909-9 s DE-604 Holzinger, Andreas 1969- (DE-588)132680548 edt Jurisica, Igor edt Erscheint auch als Druckausgabe 978-3-662-43967-8 Lecture notes in computer science 8401 : State-of-the-art survey (DE-604)BV014880109 8401 https://doi.org/10.1007/978-3-662-43968-5 Verlag Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027409483&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027409483&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract |
| spellingShingle | Interactive Knowledge Discovery and Data Mining in Biomedical Informatics State-of-the-Art and Future Challenges Lecture notes in computer science Data Mining (DE-588)4428654-5 gnd Wissensextraktion (DE-588)4546354-2 gnd Biomedizin (DE-588)4647152-2 gnd Medizinische Informatik (DE-588)4038261-8 gnd Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd |
| subject_GND | (DE-588)4428654-5 (DE-588)4546354-2 (DE-588)4647152-2 (DE-588)4038261-8 (DE-588)4125909-9 (DE-588)4143413-4 |
| title | Interactive Knowledge Discovery and Data Mining in Biomedical Informatics State-of-the-Art and Future Challenges |
| title_auth | Interactive Knowledge Discovery and Data Mining in Biomedical Informatics State-of-the-Art and Future Challenges |
| title_exact_search | Interactive Knowledge Discovery and Data Mining in Biomedical Informatics State-of-the-Art and Future Challenges |
| title_full | Interactive Knowledge Discovery and Data Mining in Biomedical Informatics State-of-the-Art and Future Challenges |
| title_fullStr | Interactive Knowledge Discovery and Data Mining in Biomedical Informatics State-of-the-Art and Future Challenges |
| title_full_unstemmed | Interactive Knowledge Discovery and Data Mining in Biomedical Informatics State-of-the-Art and Future Challenges |
| title_short | Interactive Knowledge Discovery and Data Mining in Biomedical Informatics |
| title_sort | interactive knowledge discovery and data mining in biomedical informatics state of the art and future challenges |
| title_sub | State-of-the-Art and Future Challenges |
| topic | Data Mining (DE-588)4428654-5 gnd Wissensextraktion (DE-588)4546354-2 gnd Biomedizin (DE-588)4647152-2 gnd Medizinische Informatik (DE-588)4038261-8 gnd Mensch-Maschine-Kommunikation (DE-588)4125909-9 gnd |
| topic_facet | Data Mining Wissensextraktion Biomedizin Medizinische Informatik Mensch-Maschine-Kommunikation Aufsatzsammlung |
| url | https://doi.org/10.1007/978-3-662-43968-5 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027409483&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027409483&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV014880109 |
| work_keys_str_mv | AT holzingerandreas interactiveknowledgediscoveryanddatamininginbiomedicalinformaticsstateoftheartandfuturechallenges AT jurisicaigor interactiveknowledgediscoveryanddatamininginbiomedicalinformaticsstateoftheartandfuturechallenges |