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DataWarehousing and Knowledge Discovery

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Cover of 'DataWarehousing and Knowledge Discovery'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Dynamic Data Warehouse Design
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    Chapter 2 Star/Snow-Flake Schema Driven Object-Relational Data Warehouse Design and Query Processing Strategies
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    Chapter 3 The Design and Implementation of Modularized Wrappers/Monitors in a Data Warehouse
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    Chapter 4 Managing Meta Objects for Design of Warehouse Data
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    Chapter 5 Dealing with Complex Reports in OLAP Applications
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    Chapter 6 OLAP-based Scalable Profiling of Customer Behavior
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    Chapter 7 Compressed Datacubes for Fast OLAP Applications
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    Chapter 8 Compact Representation: An Approach to Efficient Implementation for the Data Warehouse Architecture
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    Chapter 9 On the Independence of Data Warehouse from Databases in Maintaining Join Views
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    Chapter 10 Heuristic Algorithms for Designing a Data Warehouse with SPJ Views
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    Chapter 11 POSSE: A Framework for Optimizing Incremental View Maintenance at Data Warehouses
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    Chapter 12 Genetic Algorithm for Materialized View Selection in Data Warehouse Environments
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    Chapter 13 Optimization of Sequences of Relational Queries in Decision-Support Environments
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    Chapter 14 Dynamic Data Warehousing
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    Chapter 15 Set-Derivability of Multidimensional Aggregates
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    Chapter 16 Using the Real Dimension of the Data
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    Chapter 17 On Schema Evolution in Multidimensional Databases
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    Chapter 18 Lazy Aggregates for Real-Time OLAP
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    Chapter 19 Incremental Refinement of Mining Queries
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    Chapter 20 The Item-Set Tree: A Data Structure for Data Mining
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    Chapter 21 A New Approach for the Discovery of Frequent Itemsets
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    Chapter 22 K-means Clustering Algorithm for Categorical Attributes
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    Chapter 23 Considering Main Memory in Mining Association Rules
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    Chapter 24 Discovery of Association Rule Meta-Patterns
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    Chapter 25 Fuzzy Functional Dependencies and Fuzzy Association Rules
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    Chapter 26 Performance Evaluation and Optimization of Join Queries for Association Rule Mining
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    Chapter 27 Efficient Bulk Loading of Large High-Dimensional Indexes
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    Chapter 28 Implementation of Multidimensional Index Structures for Knowledge Discovery in Relational Databases
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    Chapter 29 Similarity between Event Types in Sequences
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    Chapter 30 Mining Generalized Association Rule Using Parallel RDB Engine on PC Cluster
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    Chapter 31 Modeling KDD Processes within the Inductive Database Framework
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    Chapter 32 Research Issues in Web Data Mining
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    Chapter 33 DAMISYS: An Overview
  35. Altmetric Badge
    Chapter 34 Mining Interval Time Series
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    Chapter 35 A New Modeling Technique Based on Markov Chains to Mine Behavioral Patterns in Event Based Time Series
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    Chapter 36 SQL/LPP+: A Cascading Query Language for Temporal Correlation Verification
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    Chapter 37 Temporal Structures in Data Warehousing
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    Chapter 38 Target Group Selection in Retail Banking through Neuro-Fuzzy Data Mining and Extensive Pre- and Postprocessing
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    Chapter 39 Using Data Mining Techniques in Fiscal Fraud Detection
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    Chapter 40 Analysis of Accuracy of Data Reduction Techniques
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    Chapter 41 Data Swapping: Balancing Privacy against Precision in Mining for Logic Rules
Attention for Chapter 35: A New Modeling Technique Based on Markov Chains to Mine Behavioral Patterns in Event Based Time Series
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Chapter title
A New Modeling Technique Based on Markov Chains to Mine Behavioral Patterns in Event Based Time Series
Chapter number 35
Book title
DataWarehousing and Knowledge Discovery
Published by
Springer, Berlin, Heidelberg, August 1999
DOI 10.1007/3-540-48298-9_35
Book ISBNs
978-3-54-066458-1, 978-3-54-048298-7
Authors

S. Massa, M. Paolucci, P. P. Puliafito

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Researcher 1 50%
Student > Master 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Decision Sciences 1 50%