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Data Warehousing and Knowledge Discovery

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Cover of 'Data Warehousing and Knowledge Discovery'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 An Approach on ETL Attached Data Quality Management
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    Chapter 2 Quality Measures for ETL Processes
  4. Altmetric Badge
    Chapter 3 A Logical Model for Multiversion Data Warehouses
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    Chapter 4 OntoWarehousing – Multidimensional Design Supported by a Foundational Ontology: A Temporal Perspective
  6. Altmetric Badge
    Chapter 5 Modeling and Querying Data Warehouses on the Semantic Web Using QB4OLAP
  7. Altmetric Badge
    Chapter 6 Extending Drill-Down through Semantic Reasoning on Indicator Formulas
  8. Altmetric Badge
    Chapter 7 An OLAP-Based Approach to Modeling and Querying Granular Temporal Trends
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    Chapter 8 Real-Time Data Warehousing: A Rewrite/Merge Approach
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    Chapter 9 Towards next generation BI systems : the analytical metadata challenge
  11. Altmetric Badge
    Chapter 10 Mining Fuzzy Contextual Preferences
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    Chapter 11 BLIMP: A Compact Tree Structure for Uncertain Frequent Pattern Mining
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    Chapter 12 Discovering Statistically Significant Co-location Rules in Datasets with Extended Spatial Objects
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    Chapter 13 Discovering Community Preference Influence Network by Social Network Opinion Posts Mining
  15. Altmetric Badge
    Chapter 14 Computing Hierarchical Skyline Queries “On-the-Fly” in a Data Warehouse
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    Chapter 15 Impact of Content Novelty on the Accuracy of a Group Recommender System
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    Chapter 16 Optimizing Queue-Based Semi-Stream Joins with Indexed Master Data
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    Chapter 17 Parallel Co-clustering with Augmented Matrices Algorithm with Map-Reduce
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    Chapter 18 Processing OLAP Queries over an Encrypted Data Warehouse Stored in the Cloud
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    Chapter 19 Reducing Multidimensional Data
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    Chapter 20 Towards an OLAP Environment for Column-Oriented Data Warehouses
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    Chapter 21 Interval OLAP: Analyzing Interval Data
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    Chapter 22 Improving the Processing of DW Star-Queries under Concurrent Query Workloads
  24. Altmetric Badge
    Chapter 23 Building Smart Cubes for Reliable and Faster Access to Data
  25. Altmetric Badge
    Chapter 24 Optimizing Reaction and Processing Times in Automotive Industry’s Quality Management
  26. Altmetric Badge
    Chapter 25 Using Closed n-set Patterns for Spatio-Temporal Classification
  27. Altmetric Badge
    Chapter 26 Short Text Classification Using Semantic Random Forest
  28. Altmetric Badge
    Chapter 27 Data Warehousing and Knowledge Discovery
  29. Altmetric Badge
    Chapter 28 Mining Interesting “Following” Patterns from Social Networks
  30. Altmetric Badge
    Chapter 29 A Novel Approach Using Context-Based Measure for Matching Large Scale Ontologies
  31. Altmetric Badge
    Chapter 30 ActMiner: Discovering Location-Specific Activities from Community-Authored Reviews
  32. Altmetric Badge
    Chapter 31 A Scalable Algorithm for Banded Pattern Mining in Multi-dimensional Zero-One Data
  33. Altmetric Badge
    Chapter 32 Approximation of Frequent Itemset Border by Computing Approximate Minimal Hypergraph Transversals
  34. Altmetric Badge
    Chapter 33 Clustering Based on Sequential Multi-Objective Games
  35. Altmetric Badge
    Chapter 34 Opening up Data Analysis for Medical Health Services: Cancer Survival Analysis with CARESS
  36. Altmetric Badge
    Chapter 35 “Real-time” Instance Selection for Biomedical Data Classification
  37. Altmetric Badge
    Chapter 36 Mining Churning Factors in Indian Telecommunication Sector Using Social Media Analytics
  38. Altmetric Badge
    Chapter 37 Drift Detector for Memory-Constrained Environments
  39. Altmetric Badge
    Chapter 38 Mean Shift Clustering Algorithm for Data with Missing Values
  40. Altmetric Badge
    Chapter 39 Mining Recurrent Concepts in Data Streams Using the Discrete Fourier Transform
  41. Altmetric Badge
    Chapter 40 Semi-Supervised Learning to Support the Exploration of Association Rules
  42. Altmetric Badge
    Chapter 41 Parameter-Free Extended Edit Distance
  43. Altmetric Badge
    Chapter 42 VGEN: Fast Vertical Mining of Sequential Generator Patterns
Attention for Chapter 9: Towards next generation BI systems : the analytical metadata challenge
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Chapter title
Towards next generation BI systems : the analytical metadata challenge
Chapter number 9
Book title
Data Warehousing and Knowledge Discovery
Published in
Lecture notes in computer science, November 2014
DOI 10.1007/978-3-319-10160-6_9
Book ISBNs
978-3-31-910159-0, 978-3-31-910160-6
Authors

Varga, Jovan, Jovan Varga, Oscar Romero, Torben Bach Pedersen, Christian Thomsen, Romero, Oscar, Pedersen, Torben Bach, Thomsen, Christian

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Germany 1 2%
Brazil 1 2%
Unknown 43 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 24%
Student > Ph. D. Student 9 20%
Researcher 4 9%
Professor > Associate Professor 4 9%
Student > Bachelor 4 9%
Other 7 15%
Unknown 7 15%
Readers by discipline Count As %
Computer Science 28 61%
Business, Management and Accounting 4 9%
Unspecified 1 2%
Arts and Humanities 1 2%
Economics, Econometrics and Finance 1 2%
Other 3 7%
Unknown 8 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 November 2014.
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#20,242,779
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Outputs from Lecture notes in computer science
#6,980
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#219,258
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Outputs of similar age from Lecture notes in computer science
#126
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We're also able to compare this research output to 141 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.