Data Warehousing and Knowledge Discovery

Table of Contents

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   Book Overview
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   Chapter 1 BPMN-Based Conceptual Modeling of ETL Processes
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   Chapter 2 Enhancing Coverage and Expressive Power of Spatial Data Warehousing Modeling: The SDWM Approach
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   Chapter 3 Sprint Planning Optimization in Agile Data Warehouse Design
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   Chapter 4 Using OCL for Automatically Producing Multidimensional Models and ETL Processes
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   Chapter 5 A Case Study on Model-Driven Data Warehouse Development
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   Chapter 6 Integrating ETL Processes from Information Requirements
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   Chapter 7 Automatic Transformation of Multi-dimensional Web Tables into Data Cubes
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   Chapter 8 Differentiated Multiple Aggregations in Multidimensional Databases
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    Chapter 9 Genetic Algorithms-Based Symbolic Aggregate Approximation
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    Chapter 10 A Neural-Based Approach for Extending OLAP to Prediction
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    Chapter 11 Mobile Activity Recognition Using Ubiquitous Data Stream Mining
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    Chapter 12 Warehousing Manufacturing Data
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    Chapter 13 Queen-Bee: Query Interaction-Aware for Buffer Allocation and Scheduling Problem
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    Chapter 14 Efficient Distributed Parallel Top-Down Computation of ROLAP Data Cube Using MapReduce
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    Chapter 15 Landmark-Join: Hash-Join Based String Similarity Joins with Edit Distance Constraints
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    Chapter 16 Incremental Itemset Mining Based on Matrix Apriori Algorithm
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    Chapter 17 A Fast Algorithm for Frequent Itemset Mining Using Patricia* Structures
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    Chapter 18 Multi-objective Optimization for Incremental Decision Tree Learning
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    Chapter 19 Mining Contextual Preference Rules for Building User Profiles
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    Chapter 20 Polarities, Axiallities and Marketability of Items
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    Chapter 21 RssE-Miner: A New Approach for Efficient Events Mining from Social Media RSS Feeds
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    Chapter 22 k Nearest Neighbor Using Ensemble Clustering
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    Chapter 23 Collocation Pattern Mining in a Limited Memory Environment Using Materialized iCPI-Tree
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    Chapter 24 Mining Popular Patterns from Transactional Databases
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    Chapter 25 Rare Pattern Mining on Data Streams
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    Chapter 26 A Single Pass Trellis-Based Algorithm for Clustering Evolving Data Streams
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    Chapter 27 New Management Operations on Classifiers Pool to Track Recurring Concepts
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    Chapter 28 Extrapolation Prefix Tree for Data Stream Mining Using a Landmark Model
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    Chapter 29 Dynamic Topography Information Landscapes – An Incremental Approach to Visual Knowledge Discovery
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    Chapter 30 Classifying Websites into Non-topical Categories
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    Chapter 31 Improving Cross-Document Knowledge Discovery Using Explicit Semantic Analysis
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    Chapter 32 Implementing a Data Lineage Tracker
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    Chapter 33 Evaluating the Feasibility Issues of Data Confidentiality Solutions from a Data Warehousing Perspective
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    Chapter 34 A New Paradigm for Collaborating Distributed Query Engines
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    Chapter 35 A Lightweight Stream-Based Join with Limited Resource Consumption
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    Chapter 36 MIRABEL DW: Managing Complex Energy Data in a Smart Grid