Newspapers are authentic and important source of news in India. Newspapers report significant events that impact society. Analysis of major news events that occurred throughout India in last five years to obtain genuine and innovative news sequences is the objective of this study. The news events of the same category reported on different dates corresponds to a sequence of events. Mining sequence data can unfold some innovative sequence of the events. The early information of events that can occur in future (after certain duration) in sequence with some already happened events shall prove very significant in many areas. Sequential pattern mining therefore is one of the popular knowledge discovery and pattern extraction techniques. Several researchers have obtained successfully 2-sequences from sequence data sets. The bold title statement of the paper emerges as our observation of 2-sequences obtained in our analysis. In this paper, we present our approach to discover genuine 2-sequences and 3-sequences among news events. We did not come across any such type of work, where sequences are extracted from events that occur in certain regions of any country. We created a news events dataset by collecting and categorizing large number of news from appropriate and authentic source. We have a collection of more than 3000 news that are divided into 38 categories from the period of 2012 to 2016. We obtained a list of genuine 2-sequnce and 3-sequence events within certain time period. The algorithms and the results are presented in the paper.
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