Incremental algorithms

In the numerical results, the influence of length to width ratio, imperfection, elastic foundations and temperature increment were evaluated in detail. The optimal results from DE algorithm are shown and compared.

17p viberkshire 09-08-2023 8 4   Download

In the multi-dimensional model of data warehouses, data drawn from multiple sources is organized into fact tables and dimension tables. Data cubes pre-compute the aggregations of measurements along combinations of dimensions to speed up the processing of Online Analytical Processing (OLAP) queries. When the underlying fact tables or dimension tables change over time, data cubes need to be incrementally maintained to reflect these changes. In this thesis, we study the problem of incrementally maintaining data cubes under slowly changing dimensions.

22p runthenight05 01-03-2023 7 2   Download

In this paper, we build an incremental algorithm to find the approximate reduct according to the combined filter-wrapper approach. Experimental results on a number of sample datasets show that the proposed incremental algorithm is more efficient than some other incremental algorithms following the filter approach in terms of the number of reductive set attributes and classification accuracy.

8p vineville 08-02-2023 6 2   Download

Lecture Computer graphics - Lesson 5: Line drawing techniques. The main topics covered in this chapter include: incremental line algorithm, DDA line algorithm, bresenham line algorithm, discussion on algorithm, criticism on algorithm, use of floating point calculation, improving performance,...

49p youzhangjing_1909 28-04-2022 20 4   Download

Lecture Object-Oriented programming - Lesson 34: Generic algorithms. The main topics covered in this chapter include: generic algorithms - a case study, print an array, increment operator (++), dereference operator (*), class templates, facilitates reuse of classes, customization of above class template can be instantiated,...

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In this paper we present theory and algorithms enabling classes of Artificial Intelligence (AI) systems to continuously and incrementally improve with a priori quantifiable guarantees – or more specifically remove classification errors – over time.

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The dissertation has four chapters: Chapter 1 - Background Materials; Chapter 2 - Analysis of an Algorithm in Indefinite Quadratic Programming; Chapter 3 - Qualitative Properties of the Minimum Sum-of-Squares Clustering Problem; Chapter 4 - Some Incremental Algorithms for the Clustering Problem.

142p armyofthedead 23-06-2021 31 2   Download

The objective of the thesis: Proposes filter-wrapper algorithms for fuzzy rough set based attribute reduction in decision tables to reduce the cardinality of reduct and increase significantly the classification accuracy.

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The contents of this chapter include all of the following: File system management and optimization, disk quotas (a fair distribution of disk space), file system backups, back up incrementally, logical dump algorithm, file system consistency,...

32p koxih_kothogmih3 24-08-2020 24 4   Download

Lecture 24 - The C programming. After studying this chapter you will be able to understand: Algorithms and programs, a C programming language, history of C, how to get started with C, basic Structure of a C program, data storage and data types, printf() and scanf() functions and usage precedence, unary operations, increment and decrement operations.

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Workflow management systems help to execute, monitor and manage work process flow and execution. These systems, as they are executing, keep a record of who does what and when (e.g. log of events). The activity of using computer software to examine these records, and deriving various structural data results is called workflow mining.

26p caygaocaolon1 12-11-2019 21 1   Download

In this paper, we propose an incremental filterwrapper algorithm to find one reduct of an incomplete desision table in case of adding multiple objects. The experimental results on some datasets show that the proposed filter-wrapper algorithm is more effective than some filter algorithms on classification accuracy and cardinality of reduce.

14p vithomasedison2711 14-08-2019 20 0   Download

This paper presents two non-seasonal and two seasonal sliding window-based ARIMA (auto regressive integrated moving average) algorithms. These algorithms are developed for short-term forecasting of hourly electricity load at the district meter level.

9p vithanos2711 09-08-2019 19 0   Download

This paper proposed a scheme combining both conventional P&O algorithm and a Feedforward compensator (P&O_FFC) adjusted by using FLC mechanism for improving the accuracy, and reducing oscillation in comparision with P&O or FLC applied in seperately.

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In this chapter you will learn: To use basic problem-solving techniques; to develop algorithms through the process of top-down, stepwise refinement; to use the if and if…else selection statements to choose among alternative actions; to use the while repetition statement to execute statements in a program repeatedly; to use counter-controlled repetition and sentinel-controlled repetition; to use the assignment, increment and decrement operators; the primitive data types.

86p shiwo_ding8 29-06-2019 25 1   Download

This research use model with join k-means segmentation and C4.5 classification algorithm because C4.5 weaknesses in difficulty to choose attributes. Be proven that extract customer potential attributes with k-means can help to increase C4.5 classification algorithm’s accuracy. This thing proved from the model accuracy increment from 59.02% to 77.31% and AUC from 0.537 to 0.836. Customer potential level can also be the reference in promotion, retention, and prevention of insolvency customer.

11p byphasse043256 23-03-2019 21 0   Download

In this paper, we perform a computational study in which the pricing operation is computed with eight different pivoting rules: (i) Bland’s Rule, (ii) Dantzig’s Rule, (iii) Greatest Increment Method, (iv) Least Recently Considered Method, (v) Partial Pricing Rule, (vi) Queue Rule, (vii) Stack Rule, and (viii) Steepest Edge Rule; and incorporate them with the revised simplex algorithm.

12p vinguyentuongdanh 19-12-2018 17 0   Download

Chapter 4 - Control statements (Part I). After completing this chapter, students will be able to: To use basic problem-solving techniques; to develop algorithms through the process of top-down, stepwise refinement; to use the if and if…else selection statements to choose among alternative actions; to use the while repetition statement to execute statements in a program repeatedly; to use counter-controlled repetition and sentinel-controlled repetition; to use the assignment, increment and decrement operators.

108p nhanmotchut_3 19-10-2016 46 0   Download

Chapter 6: Unsupervised Learning – Clustering Introduction to unsupervised learning and clustering, Partitional clustering (k-Means algorithm), Hierarchical clustering, Expectation Maximization (EM) algorithm, Incremental Clustering.

48p cocacola_10 08-12-2015 38 1   Download

Computing problems Solved by executing a series of actions in a specific order Algorithm a procedure determining Actions to be executed Order to be executed. Example: recipe Program control Specifies the order in which statements are executed

89p sakuraphuong 04-06-2013 51 8   Download