42results about How to "Reduce digging time" patented technology

The invention discloses a denormalization strategy selection method based on the frequent item set mining algorithm and particularly relates to a denormalization strategy selection method for mass data sets based on the frequent item set mining algorithm. The frequent pattern mining method is applied to guiding database denormalization for the first time; based on the frequent pattern mining algorithm of a concise tree, a brand-new process of establishing the concise tree and a correct counting method, serving for database denormalization selection, are provided. The denormalization strategy selection method based on the frequent item set mining algorithm has the advantages that through the frequent item set mining algorithm of association rules, important association or relation of item sets in mass data is discovered to guide DBA and the like to select and build denormalization strategies of databases, and the problem of performance bottleneck caused by mass table joins in the mass data is solved.

The invention discloses a method of item-all-weighted positive or negative association model mining between text terms and a mining system applied to the method. The method comprises the following steps of preprocessing by using a Chinese text preprocessing module to establish a text database and a feature word item library; mining item-all-weighted feature word candidate item sets from the text database by utilizing a feature word frequent item set and negative item set mining implementation module, calculating a weight dimension ratio, and cutting out uninteresting item sets by adopting a multi-interestingness threshold value pruning strategy to obtain an interesting item-all-weighted feature work frequent item set and negative item set model; mining an effective item-all-weighted positive or negative association rule model from frequent item sets and negative item sets by utilizing an item-all-weighted positive or negative association rule mining implementation module between terms, and outputting the mined positive or negative association rule model to a user by utilizing an item-all-weighted association model result display module between terms. By applying the method and the system, unnecessary frequent item sets, negative item sets and association rule models can be greatly reduced, Chinese feature word association rule mining efficiency is improved and a high-quality association model between Chinese terms is obtained.

The invention discloses an automatic vulnerability detection plugin generation method and system for an industrial control system. A current industrial control system vulnerability mining technology Fuzzing can find vulnerability but can not perform further processing on a vulnerability plugin. The method disclosed by the invention comprises a Fuzzing test link, a vulnerability playback link and avulnerability collecting link, the Fuzzing test link comprises the following sequential steps: constructing data sources and performing data storage; acquiring the data sources, starting to perform Fuzzing scanning, and mining vulnerability; monitoring a mining process; if all the data sources are completely polled and no problem is triggered, finishing the mining process; if a problem is triggered, acquiring node IDs of the data sources, and entering the vulnerability playback link; and the vulnerability playback link comprises the following sequential steps: generating the data sources andacquiring node information; acquiring the data sources, and starting to perform the Fuzzing scanning; and if no problem exists after verification, finishing, and if a problem exists, entering the vulnerability collecting link. The method disclosed by the invention can automatically generate a vulnerability detection plugin, converts unknown vulnerability into known vulnerability and improves vulnerability mining efficiency.

The invention relates to a cloud storage log data analysis method. The method includes the steps that firstly, preanalysis is conducted on cloud storage log data; secondly, the cloud storage log data obtained after preanalysis are calculated, so that a frequent item set required for generating a relation maxim is obtained; thirdly, according to the frequent item set obtained in the second step, the relation maxim of cloud storage logs is generated; fourthly, the relation maxim obtained in the third step is output. According to the method, the frequent item set is simplified, so that the scale of a generated candidate item set matrix is reduced, and the number of candidate item sets generated in the following iterative computation process is effectively reduced; in addition, by the improvement of the technical scheme, the candidate item set matrix is computed through user-defined matrix operations, the whole computation process is relatively simple, the computation amount of the data analysis process can be reduced, and excavation time is shortened.

The invention discloses a method and equipment for mining hot events based on regions and industries. The method includes: acquiring documents from a network; performing word segmentation on each document, and determining weight of each segmented word in each document; determining keywords of each document according to the weights; performing region and industry division on content of each document; correlating the keywords of each document with the content belonging to the same region and the same industry to form keyword groups, and determining weight of each keyword group; determining hot events in the region and the industry according to the weights of the keyword groups. Due to the fact that mining is performed targeted to specific regions and specific industries, hot events in the regions and industries that users are concerned about are provided for the users according to user requests. Furthermore, mining time can be reduced, calculated amount is reduced, and system resources are saved.

The invention provides a teaching affair data matrix weighted positive and negative pattern mining method and system based on correlation. The teaching affair data matrix weighted positive and negative pattern mining method comprises the following steps of pre-treating teaching affair data by using a teaching affair data pre-treating module; generating a subject candidate item set by using a subject candidate item set generation module; obtaining a subject negative item set by using a subject frequent item set and a negative item set generation module according to an item set supporting expect and calculating a candidate item set support degree; comparing with a minimum support degree threshold value to obtain a matrix weighted subject frequent item set and a negative item set; generating whole proper subsets of the subject frequent item set and the negative item set by utilizing a subject positive and negative correlation rule generation module, and calculating the comparison and the confidence coefficient of the item sets; comparing with a minimum confidence coefficient threshold value to obtain a matrix subject positive and negative correlation rule pattern; and displaying the subject positive and negative correlation rule pattern to a user by using a subject positive and negative correlation pattern display module. The teaching affair data matrix weighted positive and negative pattern mining method and system can be applied to a teaching affair information management system and can be used for mining the subject correlation rule pattern which is closer to a real pattern; the pattern can provide scientific evidences to educational transformation, teaching affair administration and education decision making.

Embodiments of the invention provide a frequent item set mining method and device, a storage medium and electronic equipment. The mining method comprises the steps of obtaining an original data set; dividing the original data set into a plurality of sub-data sets; calculating at least one frequent item set of each sub-data set in the plurality of sub-data sets; summarizing all the frequent item sets of all the sub-data sets to obtain at least one candidate frequent item set of the original data set; and screening out a frequent item set of the original data set from the at least one candidatefrequent item set. By means of the method, the mining time of the frequent item set can be shortened.

The invention provides a hydraulic system of an excavating machine, belonging to the technical field of machinery and aiming to solving the problems of easy energy loss and energy waste in the existing small hydraulic system of the excavating machine. The hydraulic system of the excavating machine comprises a main oil circuit and an auxiliary oil circuit; the main oil circuit is connected with a bucket arm link and an auxiliary link of the excavating machine and is provided with a main oil pump; the auxiliary oil circuit is also connected with the bucket arm link and the auxiliary link, and provided with an auxiliary oil pump; a pressure shut-off link is connected on the auxiliary oil circuit in parallel; and the pressure shut-off link is capable of combining the main oil circuit with the auxiliary circuit, or unloading the auxiliary circuit according to the pressure power of the main oil pump. The hydraulic system of the excavating machine has advantages that the energy waste is effectively reduced and the resource is saved.

The invention discloses an agricultural rapid sowing device. The agricultural rapid sowing device comprises two walking wheels, a bracket, an earth digging mechanism, a transmission mechanism and a seed falling mechanism, wherein the earth digging mechanism comprises a second rotary shaft, two first supporting plates and an earth digging shovel; the transmission mechanism comprises two second supporting plates, a conveyor belt, two third rotary shafts and two fourth gear discs; the seed falling mechanism comprises a seed storage box, a seed guide box, a first cover body, a second cover body, afixed pulley and a rope body. The agricultural rapid sowing device disclosed by the invention can synchronously realize forward movement, planting groove digging, uniform sowing of seeds and earth covering of the sowing device; the mode of the earth digging work of the earth digging shovel is an intermittent mode; planting grooves are dug in a planting land at intervals, the earth digging workingtime of the earth digging shovel is greatly reduced, the labor intensity of the earth digging shovel is reduced and the service life of the earth digging shovel is prolonged; the agricultural rapid sowing device is simple in structure, strong in operability and low in construction price, and can be vigorously popularized in the market.

The invention relates to a distributed cascade fission query method and device. The method comprises the following steps that: in a preset distributed system development frame, creating a fission word file used for putting fission words and a fission mode file used for putting a fission mode; according to the fission words in the fission word file and the fission mode in the fission mode file, carrying out iterative fission search to determine a fission word set and a fission model set; and according to the fission word set and the fission model set, carrying out fission processing on a statement to be queried, which is input by a user, and obtaining and returning a query result according to a processing result. By use of the method, on the basis of the distributed system development frame, the fission file is created, the fission set is determined to carry out the fission processing on the statement to be queried, which is input by the user and return the query result, and data mining time is shortened so as to improve query accuracy and query efficiency and improve user experience.

The invention provides a non-frozen shield mud for a shield freezing method and an application method thereof. The non-frozen shield mud for the shield freezing method is composed of clay minerals, water and a clay antifreezing agent and comprises non-frozen shield mud I and non-frozen shield mud II. By using the shield mud, a condition that a cutterhead of a shield tunneling machine, a shield body of the shield tunneling machine and a frozen soil mass are frozen and adhered when an opening operation by the shield freezing method can be achieved, and the whole tool changing operation can be finished by excavating the frozen soil mass which is only 1/2 of that of a conventional construction method without arranging a scaffold, so that safe and efficeint tool changing operation is achieved.

The invention discloses a novel excavator bucket. The novel excavator bucket comprises a bottom plate, side plates, a wrapper sheet, a hinge plate, torque pipes, bucket teeth and a hydraulic breakinghammer, wherein the side plates are both arranged on the two sides of the bottom plate, the wrapper sheet is arranged on an upper end connecting part of the bottom plate, and the bottom plate, the side plates and the wrapper sheet are matched to form a bucket body; and the lower part of the wrapper sheet is fixedly connected with the bottom plate, two hinge plates are arranged on the upper part ofthe wrapper sheet in parallel, two sets of torque pipes are arranged on the hinge plate in parallel, a tooth holder is arranged at the lower end of the bottom plate, the bucket teeth are connected with the tooth holder through a tooth pin, and the hydraulic breaking hammer is arranged below the bottom plate. According to the novel excavator bucket, the bucket body capable of crushing soil is adopted, so that a multi-step excavation process is avoided, the excavation progress can be accelerated, and the excavation time is saved.