Data Cubes Integration in Spatial OLAP for Agricultural Commodities

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Nested Data Cubes for OLAP

We present a new model for OLAP, called the nested data cube (NDC) model. Nested data cubes are a generalization of other OLAP models such as f-tables [3], and hypercubes [2], but also of classical structures such as sets, bags, and relations. The model we propose adds to the previous models mainly flexibility in viewing the data, in that it allows for the assignment of priorities to the differ...

متن کامل

Nested Data Cubes for OLAP ( extended

Nested data cubes (NDCs in short) are a generalization of other OLAP models such as f-tables 3] and hypercubes 2], but also of classical structures as sets, bags, and relations. This model adds to the previous models exibility in viewing the data, in that it allows for the assignment of priorities to the diierent dimensions of the multidimen-sional OLAP data. We also present an algebra in which...

متن کامل

OLAP Operators for Complex Object Data Cubes

Nowadays, multidimensional models are recognized to best reflect the decision makers’ analytical view of data. The classical multidimensional models were meant to analyze conventional data (numerical and categorical). However, they fail to handle data complexity, which is expressed by the multiplicity of data sources, the heterogeneity of formats, the diversity of structures, etc. To this end, ...

متن کامل

Range queries in dynamic OLAP data cubes

A range query applies an aggregation operation (e.g., SUM) over all selected cells of an OLAP data cube where the selection is speci®ed by providing ranges of values for numeric dimensions. Range sum queries on data cubes are a powerful analysis tool. Many application domains require that data cubes are updated often and the information provided by analysis tools are current or ``near current''...

متن کامل

Discovery-Driven Exploration of OLAP Data Cubes

Analysts predominantly use OLAP data cubes to identify regions of anomalies that may represent problem areas or new opportunities. The current OLAP systems support hypothesis-driven exploration of data cubes through operations such as drill-down, roll-up, and selection. Using these operations, an analyst navigates unaided through a huge search space looking at large number of values to spot exc...

متن کامل

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: IOP Conference Series: Earth and Environmental Science

سال: 2017

ISSN: 1755-1307,1755-1315

DOI: 10.1088/1755-1315/58/1/012034