An information processing device according to the present invention includes: a dissimilarity calculator that calculates dissimilarity that is a distance between already received first alert information, and newly received second alert information; a machine learning generator that generates a classifier by applying machine learning to the first alert information, and determines a classification result by applying the classifier to the second alert information; and a determiner that sets the determination result and information indicating that presentation is unnecessary for the second alert information, when the determination result is false detection and the dissimilarity is less than a threshold value, and sets information indicating that presentation is necessary for the second alert information, when the determination result is true detection, or when the determination result is false detection and the dissimilarity is equal to or more than a threshold value.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. An information processing device comprising: a dissimilarity calculator that calculates dissimilarity that is a distance between first alert information including an already received first alert and information relevant to the first alert, and second alert information including a newly received second alert and information relevant to the second alert; a machine learning generator that generates a classifier that determines a classification result that is a determination result of classification relating to detection of the first alert information by applying machine learning to the first alert information, and determines a classification result by applying the classifier to the second alert information; and a determiner that sets the determination result for the classification result of the second alert information and sets information indicating that presentation is unnecessary for information indicating presentation of the second alert information, when the determination result is false detection indicating erroneous detection and the dissimilarity is less than a predetermined threshold value, and sets information indicating that presentation is necessary for information indicating presentation of the second alert information, when the determination result is true detection indicating correct detection, or when the determination result is false detection indicating erroneous detection and the dissimilarity is equal to or more than a predetermined threshold value. 2. The information processing device according to claim 1, wherein the machine learning generator, as the machine learning, extracts, as the first alert information to be applied to the machine learning, the first alert information for which the classification result determined by other than an own device is set, and generates the classifier, based on the classification result set for the extracted first alert information. 3. The information processing device according to claim 2, wherein the machine learning generator calculates a first feature vector based on the extracted first alert information and generates the classifier by applying the calculated first feature vector to the machine learning, and calculates a second feature vector based on the second alert information and determines the classification result by applying the second feature vector to the classifier. 4. The information processing device according to claim 2, wherein the determiner sets, to the second alert information, the determination result, when receiving the second alert information. 5. The information processing device according to claim 1, wherein the dissimilarity calculator defines, as the dissimilarity, a distance in a predetermined rank order when a distance between the second alert information and a part or all pieces of the first alert information is arranged in ascending order. 6. The information processing device according to claim 1, wherein the dissimilarity calculator calculates, as the dissimilarity, a degree of lowness of occurrence probability of communication information included in the second alert information with respect to a distribution of information included in communication information included in the first alert information. 7. The information processing device according to claim 1, further comprising: a re-determiner that extracts third alert information for which the classification result is to be re-set from among the first alert information, calculates a feature vector of the third alert information, and re-determines the classification result of the third alert information by applying the feature vector of the third alert information to the classifier. 8. An information processing system comprising: the information processing device according to claim 1; and a presentation device that includes an alert display that receives the first alert information from the information processing device and displays the classification result and the first alert information, and an inputter that receives an input to the classification result in the displayed alert information and transmits the input to the information processing device. 9. An information processing method comprising: calculating dissimilarity that is a distance between first alert information including an already received first alert and information relevant to the first alert, and second alert information including a newly received second alert and information relevant to the second alert; generating a classifier that determines a classification result that is a determination result of classification relating to detection of the first alert information by applying machine learning to the first alert information; determining a classification result by applying the classifier to the second alert information; setting the determination result for the classification result of the second alert information and setting information indicating that presentation is unnecessary for information indicating presentation of the second alert information, when the determination result is false detection indicating erroneous detection and the dissimilarity is less than a predetermined threshold value; and setting information indicating that presentation is necessary for information indicating presentation of the second alert information, when the determination result is true detection indicating correct detection, or when the determination result is false detection indicating erroneous detection and the dissimilarity is equal to or more than a predetermined threshold value. 10. A computer readable non-transitory storage medium embodying a program, the program causing a computer to perform a method, the method comprising: calculating dissimilarity that is a distance between first alert information including an already received first alert and information relevant to the first alert, and second alert information including a newly received second alert and information relevant to the second alert; generating a classifier that determines a classification result that is a determination result of classification relating to detection of the first alert information by applying machine learning to the first alert information; determining a classification result by applying the classifier to the second alert information; setting the determination result for the classification result of the second alert information and setting information indicating that presentation is unnecessary for information indicating presentation of the second alert information, when the determination result is false detection indicating erroneous detection and the dissimilarity is less than a predetermined threshold value; and setting information indicating that presentation is necessary for information indicating presentation of the second alert information, when the determination result is true detection indicating correct detection, or when the determination result is false detection indicating erroneous detection and the dissimilarity is equal to or more than a predetermined threshold value.