KEYWORDS: Data mining, Tunable filters, Cloud computing, Mining, Matrices, Detection and tracking algorithms, Data modeling, Distributed computing, Data processing, Analytical research
In this paper, introduces the relevant knowledge of cloud computing and data mining, focuses on the collaborative filtering algorithm used in data mining, and analyzes the role of this algorithm in data mining, compares the advantages and disadvantages of this algorithm, Aiming at the disadvantages of collaborative filtering algorithm, this paper proposes an improved collaborative filtering algorithm. Through the experimental analysis, the improved collaborative filtering algorithm is superior to the traditional collaborative filtering algorithm in performance.
With the rapid development of wireless technology, indoor positioning using WiFi has become a hot spot in the current positioning field. At present, WiFi signals are ubiquitous, resulting in uneven AP deployment and redundancy, which affects positioning accuracy. In this paper, an AP selection algorithm based on information entropy and mutual information is proposed by analyzing the characteristics of AP signals to optimize the AP. Its positioning accuracy is significantly better than the other two AP selection algorithms.
KEYWORDS: Digital signal processing, Telecommunications, Analog electronics, Signal processing, Data communications, Control systems, Network architectures, Data conversion, Switching, Data processing
In recent years, the collective teaching mode of digital piano has gradually become a research hotspot of piano teaching. Based on the problems encountered in digital piano teaching and actual operation, this paper proposes a kind of digital piano classroom, piano audio signal network transmission plan, realizes the network function of digital piano collective classroom, and provides a feasible method for digital piano The operating platform, in turn, helps to improve the collective sound effect of the digital piano.
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