Abstract: A method includes reading a plurality of historical data from a storage. The method also includes generating, using a processor, a candidate pattern list. The method also includes determining, using the points stored in the candidate pattern list, whether at least one maximal clique exists in the candidate pattern list, each maximal clique indicating a known significant pattern. The method further includes, in response to determining that at least one maximal clique exists in the candidate pattern list, for each of the at least one maximal cliques, determining a signature of the maximal clique and storing the signature of the maximal clique and an identifier identifying the known significant pattern to a library in the storage. The method further includes determining causal relationships between the identified significant patterns and storing in the library.

Abstract: A method includes reading a plurality of historical data from a storage. The method also includes generating, using a processor, a candidate pattern list. The method also includes determining, using the points stored in the candidate pattern list, whether at least one maximal clique exists in the candidate pattern list, each maximal clique indicating a known significant pattern. The method further includes, in response to determining that at least one maximal clique exists in the candidate pattern list, for each of the at least one maximal cliques, determining a signature of the maximal clique and storing the signature of the maximal clique and an identifier identifying the known significant pattern to a library in the storage. The method further includes determining causal relationships between the identified significant patterns and storing in the library.

Abstract: A method includes determining whether the first pattern has been marked as a known significant pattern by searching for the first pattern in a library of known significant patterns in a storage. The method also includes, in response to determining that the first pattern has been marked as a known significant pattern, determining whether the first pattern has a causal relationship with a second pattern and determining a strength of the causal relationship between the first pattern and the second pattern. The method also includes, based on the strength of the causal relationship, predicting whether the second pattern will occur, and, in response to predicting that the second pattern will occur, alerting a system administrator in real-time that the second pattern will occur.