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《商务智能:数据分析的管理视角 Business Intelligence, Analytics, and Data Science:A Managerial Perspective》教学资源(习题,原书第4版)chapter 8 Future Trends, Privacy and Managerial Considerations in Analytics
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To design and use abstract classes (§9.2). To process calendar using the Calendar and GregorianCalendar classes (§9.3). To declare interfaces to model weak inheritance relationships (§9.4). To define a natural order using the Comparable interface (§9.4). To know the similarities and differences between an abstract class and interface (§9.4). To enable objects cloneable using the Cloneable interface (§9.4.4 Optional). To use wrapper classes (Byte, Short, Integer, Long, Float, Double, Character, and Boolean) to wrap primitive data values into objects (§9.5). To create a generic sort method (§9.5). To simplify programming using JDK 1.5 automatic conversion between primitive types and wrapper class types (§9.6)
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广西师范大学出版社:《大数据 The Big Data Revolution》PDF电子书(著:涂子沛)
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《电子商务 E-business》阅读文献:A recommender system based on genetic algorithm for music data
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《计算机网络》课程教学资源(学习资料)Teaching Data Communications and Networking to School of Business Undergraduates
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4.1 Randomized algorithm 4.2 Quicksort and randomized quicksort 4.3 Expected running time of quicksort 4.4 Max-heaps and min-heaps 4.5 Heap operations: heapify, building, and key increasing 4.6 heap sort and priority queues 4.7 Comparisons of sort algorithms: heap sort, quick sort, insertion sort, and merge sort 4.8 Comparison sort and decision tree model 4.9 Sorting in linear time: counting-sort, radix sort, and bucket sort
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6.1 Binary trees and binary search tree 6.2 Inorder, preorder, and postorder tree walk 6.3 Successor and predecessor of BST 6.4 Operations of BST: search, Minimum and maximum, constructing, deletion and insertion 6.5 Balanced search trees 6.6 AVL trees 6.7 Single and double rotation 6.8 Red-black trees 6.9 B-tree (2-3-4 tree)
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8.1 Manufacturing problem 8.2 Matrix-chain multiplication 8.3 Elements of dynamic programming 8.4 Four steps of development 8.5 Longest common subsequence problem
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10.1 Graph representations 10.2 Breadth-first and depth-first search algorithms 10.3 Topological sort 10.4 Disjoint sets and strategy of union by rank and path compression 10.5 Minimum spanning tree 10.6 Prim's and Kruskal's algorithm 10.7 Single-source shortest-paths algorithms: breadth-first search, Dag shortest paths, Dijkstra algorithm, and Bellman-Ford algorithm 10.8 All-pairs shortest-paths algorithms: brute-force, dynamic programming, Floyd-Warshall algorithm, and Johnson algorithm 10.9 Ford-Fulkerson max-flow algorithm and Edmonds-Karp algorithm
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12.1 Polynomial time algorithms 12.2 Undecidable 12.3 NP-complete 12.4 Approximation algorithms 12.5 Dealing with hard problems
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