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Graph algorithms in practice
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Part 1 of ebook "Graph algorithms: Practical examples in Apache Spark and Neo4j" provides readers with contents including: chapter 1 - introduction; chapter 2 - graph theory and concepts; chapter 3 - graph platforms and processing; chapter 4 - pathfinding and graph search algorithms; chapter 5 - centrality algorithms;...
126p
tieulangtran
28-09-2023
8
3
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Continued part 1, part 2 of ebook "Graph algorithms: Practical examples in Apache Spark and Neo4j" provides readers with contents including: chapter 6 - community detection algorithms; chapter 7 - graph algorithms in practice; chapter 8 - using graph algorithms to enhance machine learning;...
131p
tieulangtran
28-09-2023
6
2
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In this chapter, you learned about entity relationship diagrams, data modeling practice, schema conversion, and normalization. This chapter extends your database design skills by explaining the process to achieve an efficient implementation of your table design.
31p
nanhankhuoctai9
23-06-2020
14
1
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In the present paper we give the definition of the graph radio coloring concept which is a graph coloring generalization. We also introduce radio coloring invariants which are of a great practical importance to problems regarding the allocation of diverse frequencies in order to avoid interference occurrences between channel transmissions.
9p
vinguyentuongdanh
20-12-2018
19
2
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Synopsis by Rebecca Rohan Once you've learned to program, you run into real-world problems that require more than a programming language alone to solve. Data Structures and Algorithms in Java is a gentle immersion into the most practical ways to make data do what you want it to do. Lafore's relaxed mastery of the techniques comes through as though he's chatting with the reader over lunch, gesturing toward appealing graphics. The book starts at the very beginning with data structures and algorithms, but assumes the reader understands a language such as Java or C++.
0p
rose_12
06-12-2012
74
9
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Algorithms play the central role both in the science and practice of computing. Recognition of this fact has led to the appearance of a considerable number of textbooks on the subject. By and large, they follow one of two alternatives in presenting algorithms. One classifies algorithms according to a problem type. Such a book would have separate chapters on algorithms for sorting, searching, graphs, and so on. The advantage of this approach is that it allows an immediate comparison of, say, the efficiency of different algorithms for the same problem.
593p
fangfangfang
11-05-2012
152
27
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