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Books > Computing & IT > Computer programming > Software engineering
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Principles of Big Graph: In-depth Insight, Volume 128 (Hardcover)
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Principles of Big Graph: In-depth Insight, Volume 128 (Hardcover)
Series: Advances in Computers
Expected to ship within 12 - 19 working days
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Principles of Big Graph: In-depth Insight, Volume 128 in the
Advances in Computer series, highlights new advances in the field
with this new volume presenting interesting chapters on a variety
of topics, including CESDAM: Centered subgraph data matrix for
large graph representation, Bivariate, cluster and suitability
analysis of NoSQL Solutions for big graph applications, An
empirical investigation on Big Graph using deep learning, Analyzing
correlation between quality and accuracy of graph clustering,
geneBF: Filtering protein-coded gene graph data using bloom filter,
Processing large graphs with an alternative representation,
MapReduce based convolutional graph neural networks: A
comprehensive review. Fast exact triangle counting in large graphs
using SIMD acceleration, A comprehensive investigation on attack
graphs, Qubit representation of a binary tree and its operations in
quantum computation, Modified ML-KNN: Role of similarity measures
and nearest neighbor configuration in multi label text
classification on big social network graph data, Big graph based
online learning through social networks, Community detection in
large-scale real-world networks, Power rank: An interactive web
page ranking algorithm, GA based energy efficient modelling of a
wireless sensor network, The major challenges of big graph and
their solutions: A review, and An investigation on socio-cyber
crime graph.
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