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Real-Time Business Intelligence & Frequent Pattern Mining Algorithm

involves a lot of memory and CPU costs. In this book, I present a new algorithm for mining frequent itemsets which will decrease CPU cost and;

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Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories

perspective of relationship modeling among the spatiotemporal objects, frequent pattern mining algorithms, and data access methodologies for mining;

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Data Mining Concept Animation Library

association algorithms: Apriori algorithm and Frequent Pattern (FP) Growth algorithm. My experience has proved that building the library is not only;

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Mining Intelligence and Knowledge Exploration

This book constitutes the refereed proceedings of the 4th International Conference on Mining Intelligence and Knowledge Exploration, MIKE;

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Pattern Recognition and Computational Intelligence Techniques Using Matlab

pattern recognition and the computational intelligence using Matlab; Includes mixtures of theory, math, and algorithms, letting readers;

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Mining Intelligence and Knowledge Exploration

This book constitutes the refereed proceedings of the Third International Conference on Mining Intelligence and Knowledge Exploration;

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Intelligent Learning Systems

algorithm, data mining in electronic commerce: benefits and challenges, and data mining with time series data in short-term stocks prediction;

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Real-Time Strategy and Business Intelligence

This book discusses and conceptualizes practices on real-time strategy, focusing on the interplay between strategy and business;

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Perspectives on Pattern Recognition

; construction damage assessment based on pattern recognition; Haken's pattern recognition algorithm as applied in engineering sciences; active contours;

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Web Data Mining and Applications in Business Intelligence and Counter-Terrorism

utilize data that may be of value to corporations and organizations. The emergence of data mining, and the larger field of Web mining, has;

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Data Mining for Business Intelligence

with other items, the authors use interesting, real-world examples to build a theoretical and practical understanding of key data mining;

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Decision Trees for Business Intelligence and Data Mining

This example-driven guide illustrates the application and operation of decision trees in data mining, business intelligence, business;

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Is Intelligence an Algorithm?

How do we understand the world around us? How do we solve problems? Often the answer to these questions follows a certain pattern, an;

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Pattern Recognition and Artificial Intelligence

intelligence, such as statistical, structural and syntactic pattern recognition, machine learning, data mining, neural networks, computer vision;

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Enabling Real-Time Business Intelligence

Real-Time Enterprise, BIRTE 2012, held in Istanbul, Turkey, in August 2012, in conjunction with VLDB 2012, the International Conference on Very;

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Pattern Recognition and Artificial Intelligence

of pattern recognition and artificial intelligence, such as statistical, structural and syntactic pattern recognition, machine learning, data mining;

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Computational Intelligence for Pattern Recognition

of pattern recognition in real-world applications in industry, health care, administration, and business. Since the inception of fuzzy sets, fuzzy;

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Integration Challenges for Analytics, Business Intelligence, and Data Mining

information that is crucial for the success of the company. Without the integration of data (both structured and unstructured) mining in business;

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Swarm Intelligence Based Optimization

swarms, ant colony, bacterial forging, artificial bees, fireflies algorithm; hybridization of algorithms; parallel/distributed computing, machine;

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Recent Advances in Swarm Intelligence and Evolutionary Computation

This timely review volume summarizes the state-of-the-art developments in nature-inspired algorithms and applications with the emphasis on;

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Advances in Swarm Intelligence

177 submissions. They cover topics such as: Swarm Intelligence and Nature-Inspired Computing; Swarm-based Computing Algorithms for;

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Machine Learning and Data Mining

Data mining is often referred to by real-time users and software solutions providers as knowledge discovery in databases (KDD). Good data;

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Pattern Recognition and Machine Intelligence

; image tracking; pattern recognition; data mining techniques for large scale data; fuzzy computing; rough sets; bioinformatics; and applications;

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Complex Pattern Mining

the complex information it contains. Presenting the latest developments in complex pattern mining, this book is a valuable reference resource;

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Enabling Real-Time Business Intelligence

Real-Time Enterprise, BIRTE 2011, held in Seattle, WA, USA, in September 2011, in conjunction with VLDB 2011, the International Conference on;

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Pattern Recognition and Machine Intelligence

This book constitutes the proceedings of the 7th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2017,held;

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Mining Intelligence and Knowledge Exploration

This book constitutes the refereed post-conference proceedings of the 5th International Conference on Mining Intelligence and Knowledge;

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