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    Functional Programming with B trees Computer Science

    Functional Programming with B trees Computer Science


    Functional Programming with B trees

    Posted: 20 May 2021 12:54 AM PDT

    I have written a small paper which describes the implementation of B trees in functional languages. The specific language used is ocaml.

    B trees have some advantages over AVL trees or redblack trees:

    • better cache performance: If the btree segments have a size e.g. of 32, then a segment with key value pairs and children fits into a cache line of modern processors. Inserting and removing from functional arrays is very fast, if the array fits into a cache line.
    • better data locality: Since arrays are used, all data within the array can be accessed locally very fast (as long as the array fit into a cache line, see previous point).
    submitted by /u/hbrandl
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    Recommend me a good data mining foundation course from udemy,skillshare,coursera or any other sites.

    Posted: 20 May 2021 01:19 AM PDT

    Based on this syllabus?

    • Introduction (2 hours)
    1. Data Mining Origin
    2. Data Mining & Data Warehousing basics
    • Data Pre-Processing (6 hours )
    1. Data Types and Attributes
    2. Data Pre-processing
    3. OLAP & Multidimensional Data Analysis
    4. Various Similarity Measures
    • Classification (12 hours)
    1. Basics and Algorithms
    2. Decision Tree Classifier
    3. Rule Based Classifier
    4. Nearest Neighbor Classifier
    5. Bayesian Classifier
    6. Artificial Neural Network Classifier
    7. Issues : Overfitting, Validation, Model Comparison
    • Association Analysis (10 hours)
    1. Basics and Algorithms
    2. Frequent Itemset Pattern & Apriori Principle
    3. FP-Growth, FP-Tree
    4. Handling Categorical Attributes
    5. Sequential, Subgraph, and Infrequent Patterns
    • Cluster Analysis (9 hours)
    1. Basics and Algorithms
    2. K-means Clustering
    3. Hierarchical Clustering
    4. DBSCAN Clustering
    5. Issues : Evaluation, Scalability, Comparison
    • Anomaly / Fraud Detection (3 hours)
    • Advanced Applications (3 hours)
    1. Mining Object and Multimedia
    2. Web-mining
    3. Time-series data mining
    submitted by /u/90375
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    How do patterns in data depend on the level of resolution? How does that relates with earth's surface analogy?

    Posted: 19 May 2021 09:23 AM PDT

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