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Prosperity of the online keyword auctions greatly facilitates the penetration of search-engine marketing in various industries. However, the current operation rules of the search engine make it very difficult for those inexperienced advertisers to make sound bids without the support of powerful tools. Therefore, many
Nonlinear Auto-Regressive Moving Average (NARMA)) to forecast Malaysian tourism influx based on the volume of internet searches of the keyword ‘tourism Malaysia’ in Google Trends, based on proven strong correlatedness between the volume of internet searches with tourism in a particular area. Both models were
framework, selected keywords, composed the keywords into composite index, found a strong correlation, and finally a result of prediction sales was given in the end of the paper.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.