Wildlife Damage Estimation and Prediction Using Blog and Tweet Information
نویسندگان
چکیده
منابع مشابه
Wildlife Damage Estimation and Prediction Using Blog and Tweet Information
Wildlife damage estimation and prediction using blog and tweet information is conducted. Through a regressive analysis with the truth data about wildlife damage which is acquired by the federal and provincial governments and the blog and the tweet information about wildlife damage which are acquired in the same year, it is found that some possibility for estimation and prediction of wildlife da...
متن کاملsynthesis of amido alkylnaphthols using nano-magnetic particles and surfactants
we used dbsa and nano-magnetic for the synthesis of amido alkylnaphtols.
15 صفحه اولPrediction from Blog Data
We have approximately one year’s worth of blog posts from [1] with over 12 million web blogs tracked. On average there are 500 thousand blog posts per day. In this project, we are attempting to extract from the blog data the set of features that are predictive of the movie gross sales, critics ratings, and viewers ratings (collected by sites like [3]). Having gained this insight, we are applyin...
متن کاملsimulation and experimental studies for prediction mineral scale formation in oil field during mixing of injection and formation water
abstract: mineral scaling in oil and gas production equipment is one of the most important problem that occurs while water injection and it has been recognized to be a major operational problem. the incompatibility between injected and formation waters may result in inorganic scale precipitation in the equipment and reservoir and then reduction of oil production rate and water injection rate. ...
When twitter meets foursquare: tweet location prediction using foursquare
The continued explosion of Twitter data has opened doors for many applications, such as location-based advertisement and entertainment using smartphones. Unfortunately, only about 0.58 percent of tweets are geo-tagged to date. To tackle the location sparseness problem, this paper presents a methodical approach to increasing the number of geotagged tweets by predicting the fine-grained location ...
متن کاملذخیره 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: International Journal of Advanced Research in Artificial Intelligence
سال: 2016
ISSN: 2165-4069,2165-4050
DOI: 10.14569/ijarai.2016.050402