The Rainfall and Meteorological Data Mining Model Based on Multi-Dimensional Precipitation Time Series
نویسندگان
چکیده
منابع مشابه
Data Mining in Meteorological Time Series using Association Rules and a Similarity Searching-Based Method
In this work we present a method for data mining in multidimensional time series based in similarity queries. The proposed method integrates a descriptor based on Coulomb’s law for the reduction of time series’ dimensionality, a system to perform similarity searching in time series and also a module to generate association rules. Validation was performed by means of experiments with real data, ...
متن کاملPattern Visualization on Meteorological Data for Rainfall Prediction Model
Regional rainfall forecast is an important task for meteorologists. While statistical methods are usually in vogue, for this, the concept of data mining is applied to see the efficacy. The objective of this work is to develop a forecast method for the rainfall of the Northeast (NE) season over the Cauvery delta region of South India. There are three main parts in this work. The first part is in...
متن کاملMining Time Series Data Based upon Cloud Model
In recent years many attempts have been made to index, cluster, classify and mine prediction rules from increasing massive sources of spatial time-series data. In this paper, a novel approach of mining time-series data is proposed based on cloud model, which described by numerical characteristics. Firstly, the cloud model theory is introduced into the time series data mining. Time-series data c...
متن کاملMining Time Series Data
Much of the world’s supply of data is in the form of time series. In the last decade, there has been an explosion of interest in mining time series data. A number of new algorithms have been introduced to classify, cluster, segment, index, discover rules, and detect anomalies/novelties in time series. While these many different techniques used to solve these problems use a multitude of differen...
متن کاملthe clustering and classification data mining techniques in insurance fraud detection:the case of iranian car insurance
با توجه به گسترش روز افزون تقلب در حوزه بیمه به خصوص در بخش بیمه اتومبیل و تبعات منفی آن برای شرکت های بیمه، به کارگیری روش های مناسب و کارآمد به منظور شناسایی و کشف تقلب در این حوزه امری ضروری است. درک الگوی موجود در داده های مربوط به مطالبات گزارش شده گذشته می تواند در کشف واقعی یا غیرواقعی بودن ادعای خسارت، مفید باشد. یکی از متداول ترین و پرکاربردترین راه های کشف الگوی داده ها استفاده از ر...
ذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2021
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/1871/1/012137