Big data base - big data industry (Peng "big data" after-school exercise answers)

1. Briefly composed of dense seismic network.

   Seismic intensity earthquake information system, earthquake early warning system, MEMS sensors intensity meter and smart devices.

2. How to find out the relevance of the data from a large earthquake.

   Not rigidly adhere to the study of causality, to explore the relationship between transitions associated, non-associated and so on. In the manner of big data, regardless of the means and the data subject, or whether it's spatial dimensions and structure, as long as the abnormal on behalf of the abnormal degree formula.

Appreciated that the amount of Formula 3. The parameters outlined severity of abnormal activity.

   We define "abnormal activity" as "indicates a block (or a geological unit) at a time t showed abnormal activity of severity of the parameter."

4. Large data from which several new models and new propulsion earthquake formats?

   ( 1) a dense seismic observation network to bring innovation

  (2) big data work for earthquake precursors open new avenues to explore

  (3) large data should support earthquake emergency rescue

  (4) Things Big Data applications earthquake

5. Big Data traffic for the sense of intellect. What?

   (1) provides environmental monitoring data big way

  (2) has a large data information integration and information superiority combination of efficiency

  Intelligence (3) large data can be rational allocation of resources to public transport

  (4) improve traffic safety

6. used in the transportation industry, data mining techniques have?

   Common are classification, clustering, association algorithm

System Model 3 main stages of data mining 7. What are?

   Discovery data preparation, model, expression and interpretation of results

                                          

8. Brief traffic congestion algorithm model build process.

   Definition and analysis of congestion -> Analysis -> Relationship Modeling link travel time and traffic -> implementation model

                                          

9. commonly used environmental data can be divided into several categories?

   (1) environmental prediction data, such as China Daily weather forecast for publication.

  (2) Environmental live data, the Central Meteorological Observatory issued hourly weather city live.

10. Sources of environmental data, including what?

   Environmental data (1) generated by various types of sensors

  (2) government departments, data authority environmental monitoring systems provide external services.

  (3) various types of environmental data, third-party source

  (4) government departments, environmental agencies and non-governmental organizations published reports relating to the environment

11. What data storage strategy storage environment should be used?

   (1) mass, different data structures -> distributed data storage technologies (e.g. Hadoop cluster)

  (2)地理信息、较强的关联性->关系型数据库(如MySQL)

12.应采用何种方式实现环境数据可视化?

   可采用地图来展示不同城市和测点的环境数据。

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Origin www.cnblogs.com/lsm-boke/p/11964474.html