Search Results - (((((((ant OR arts) OR vivan) OR data) OR cantor) OR anne) OR halted) OR wanting) algorithms.

Multicore computing : algorithms, architectures, and applications

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Lecture notes in data mining

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Inside Finite Elements. by Weiser, Martin

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DataFlow supercomputing essentials : research, development and education

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Pattern discovery in biomolecular data : tools, techniques, and applications

Table of Contents: “…Wang [and others] -- Motif discovery in protein structure databases / Janice Glasgow, Evan Steeg, and Suzanne Fortier -- Systematic detection of protein structural motifs / Kentaro Tomii and Minoru Kanehisa -- Representation and matching of small flexible molecules in large databases of 3D molecular information / Isidore Rigoutsos [and others] -- Framework for biological pattern discovery on networks of workstations / Bin Li, Dennis Shasha, and Jason T.L. Want -- Discovering concepts in structural data / Diane J. …”
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Big data in medical science and healthcare management : diagnosis, therapy, side effects

Table of Contents: “…Autopilot and "doctor algorithm"? -- 1. Intro big data for healthcare? / Peter Langkafel -- 2. …”
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Artificial intelligence for big data : complete guide to automating big data solutions using artificial intelligence techniques. by Deshpande, Anand

Table of Contents: “…Snowball stemming -- Lancaster stemming -- Lovins stemming -- Dawson stemming -- Lemmatization -- N-grams -- Feature extraction -- One hot encoding -- TF-IDF -- CountVectorizer -- Word2Vec -- CBOW -- Skip-Gram model -- Applying NLP techniques -- Text classification -- Introduction to Naive Bayes' algorithm -- Random Forest -- Naive Bayes' text classification code example -- Implementing sentiment analysis -- Frequently asked questions -- Summary -- Chapter 7: Fuzzy Systems -- Fuzzy logic fundamentals -- Fuzzy sets and membership functions -- Attributes and notations of crisp sets -- Operations on crisp sets -- Properties of crisp sets -- Fuzzification -- Defuzzification -- Defuzzification methods -- Fuzzy inference -- ANFIS network -- Adaptive network -- ANFIS architecture and hybrid learning algorithm -- Fuzzy C-means clustering -- NEFCLASS -- Frequently asked questions -- Summary -- Chapter 8: Genetic Programming -- Genetic algorithms structure -- KEEL framework -- Encog machine learning framework -- Encog development environment setup -- Encog API structure -- Introduction to the Weka framework -- Weka Explorer features -- Preprocess -- Classify -- Attribute search with genetic algorithms in Weka -- Frequently asked questions -- Summary -- Chapter 9: Swarm Intelligence -- Swarm intelligence -- Self-organization -- Stigmergy -- Division of labor -- Advantages of collective intelligent systems -- Design principles for developing SI systems -- The particle swarm optimization model -- PSO implementation considerations -- Ant colony optimization model -- MASON Library -- MASON Layered Architecture -- Opt4J library -- Applications in big data analytics -- Handling dynamical data -- Multi-objective optimization -- Frequently asked questions -- Summary -- Chapter 10: Reinforcement Learning -- Reinforcement learning algorithms concept.…”
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Adaptive stream mining : pattern learning and mining from evolving data streams by Bifet, Albert

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Combinatorial scientific computing

Table of Contents: “…Algorithmic and statistical perspectives on large-scale data analysis /…”
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Data Structures Through C. by Kanetkar, Yashavant

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Hands-On Deep Learning with TensorFlow. by Boxel, Dan Van

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Artificial intelligence and big data : the birth of a new intelligence by Iafrate, Fernando

Table of Contents: “…-- Digital Learning -- The Reign of Algorithms -- Uses for Artificial Intelligence -- Conclusion -- Big Data -- Smart Data -- Data Lakes -- Some Vocabulary Relevant to Artificial Intelligence -- Comparison Between Machine Learning and Traditional Business Intelligence -- Conceptual Outline of the Steps Required to Implement a Customization Solution based on Machine Learning.…”
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Data mining for social robotics : toward autonomously social robots by Mohammad, Yasser, Nishida, T. (Toyoaki)

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Wireless Communications : Algorithmic Techniques. by Vitetta, Giorgio

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Frontiers in Massive Data Analysis. by Council, National Research

Table of Contents: “…FrontMatter -- Acknowledgments -- Contents -- Summary -- 1 Introduction -- 2 Massive Data in Science, Technology, Commerce, National Defense, Telecommunications, and Other Endeavors -- 3 Scaling the Infrastructure for Data Management -- 4 Temporal Data and Real-Time Algorithms -- 5 Large-Scale Data Representations -- 6 Resources, Trade-offs, and Limitations -- 7 Building Models from Massive Data -- 8 Sampling and Massive Data -- 9 Human Interaction with Data -- 10 The Seven Computational Giants of Massive Data Analysis -- 11 Conclusions -- Appendixes…”
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Scala Data Analysis Cookbook. by Arun Manivannan

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Data mining with decision trees : theory and applications by Rokach, Lior

Table of Contents: “…Introduction to Decision Trees; 1.1 Data Mining and Knowledge Discovery; 1.2 Taxonomy of Data Mining Methods; 1.3 Supervised Methods; 1.3.1 Overview; 1.4 Classification Trees; 1.5 Characteristics of Classification Trees; 1.5.1 Tree Size; 1.5.2 The hierarchical nature of decision trees; 1.6 Relation to Rule Induction; 2. …”
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Analyzing Time Interval Data : Introducing an Information System for Time Interval Data Analysis. by Meisen, Philipp

Table of Contents: “…2.3 Summary3 State of the Art; 3.1 Analytical Information Systems; 3.2 Analyzing Time Interval Data: Different Approaches; 3.2.1 On-Line Analytical Processing; 3.2.2 Temporal Pattern Mining & Association Rule Mining; 3.2.3 Visual Analytics; 3.3 Performance Improvements; 3.3.1 Indexing Time Interval Data; 3.3.2 Aggregating Time Interval Data; 3.3.3 Caching Time Interval Data; 3.4 Analytical Query Languages for Temporal Data; 3.5 Similarity of Time Interval Data; 3.6 Summary; 4 TIDAMODEL: Modeling Time Interval Data; 4.1 Time Axis; 4.2 Descriptors; 4.3 Time Interval Database.…”
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Gaming : essays on algorithmic culture by Galloway, Alexander R., 1974-

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Fuzzy System and Data Mining : Proceedings of FSDM 2015. by Chen, G.

Table of Contents: “…Chlorophyll-a Concentration in Water: A Semi-Analytical Retrieval Model Research with a BP NetworkGrid-Connected PV Power Station's Harmonic Current Detection Based on Adaptive Neural Networks; Research on the Method of Generalized Regression Neural Network Based Optimization via Simulation; Deep Learning Algorithm and Applications in Location Big Data Mining; Data Mining in Fault Diagnosis for Substation Based on Kohonen and BP Network; Efficient Differential Evolution Based on Evolutional Information Matrix.…”
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