1. A text mining device, including:
a text set storage unit for storing a plurality of texts obtained by forming a plurality of non-text data into texts;
a reliability storage unit for storing, for each of a plurality of texts stored in said text set storage unit, a reliability of the text which is derived from formation of said non-text data from which the text originates into texts;
a text mining unit for executing, with respect to a plurality of texts stored in said text set storage unit, text mining of searching a plurality of texts of the same class having the same characteristic from the plurality of texts; and
a text selection unit for reading, for each text of the same class searched by said text mining unit, a reliability of the text from said reliability storage unit to select a part of texts of the same class from the plurality of texts of the same class based on the reliability.
2. The text mining device according to claim 1, wherein said text selection unit generates, for each said text of the same class, a degree of assurance indicative of a degree of correlation between the text of the same class and non-text data from which the text of the same class originates based on a reliability of the text of the same class to select text of the same class having the highest degree of assurance as said part of texts of the same class from among said plurality of texts of the same class.
3. The text mining device according to claim 2, wherein
said reliability storage unit stores, for each word included in said text, a reliability derived from formation of said non-text data from which the text originates into texts,
said text mining unit uses a word as said characteristic, and
said text selection unit reads, for each said text of the same class, a reliability of a word used as said characteristic in the text of the same class from said reliability storage unit and generates, for each said text of the same class, said degree of assurance based on the reliability of the word as said characteristic in the text of the same class to select text of the same class having the highest degree of assurance as said part of texts of the same class from among said plurality of texts of the same class.
4. The text mining device according to claim 2, wherein
said reliability storage unit stores, for each word included in said text, a reliability derived from formation of said non-text data from which the text originates into texts,
said text mining unit uses a word as said characteristic, and
said text selection unit reads, for each said text of the same class, a reliability of a word used as said characteristic in the text of the same class and a reliability of a word in proximity to the word in question from said reliability storage unit and generates, for each said text of the same class, said degree of assurance based on the reliabilities of the word as said characteristic in the text of the same class and of the word in proximity to the word in question to select text of the same class having the highest degree of assurance as said part of texts of the same class from among said plurality of texts of the same class.
5. The text mining device according to claim 2, wherein
said reliability storage unit stores, for each word included in said text, a reliability derived from formation of said non-text data from which the text originates into texts,
said text mining unit uses a word as said characteristic, and
said text selection unit reads, for each said text of the same class, reliabilities of all the words in the text of the same class from said reliability storage unit and generates, for each said text of the same class, said degree of assurance based on the reliabilities of all the words in the text of the same class to select text of the same class having the highest degree of assurance as said part of texts of the same class from among said plurality of texts of the same class.
6. The text mining device according claim 1, wherein said text selection unit includes
a degree of assurance calculating unit for generating, for each said text of the same class, a degree of assurance indicative of a degree of correlation between the text of the same class and non-text data from which the text of the same class originates based on a reliability of the text of the same class, and
a degree of assurance output unit for outputting said degree of assurance together with said part of texts of the same class.
7. A text mining method to be executed by a text mining device having a text set storage unit for storing a plurality of texts obtained by forming a plurality of non-text data into texts and a reliability storage unit for storing, for each of a plurality of texts stored in said text set storage unit, a reliability of the text which is derived from formation of said non-text data from which the text originates into texts, including:
a text mining step of executing, with respect to a plurality of texts stored in said text set storage unit, text mining of searching a plurality of texts of the same class having the same characteristic from the plurality of texts; and
a text selection step of reading, when said plurality of texts of the same class are searched, a reliability of each text of the same class from said reliability storage unit to select a part of texts of the same class from the plurality of texts of the same class based on the reliability.
8. The text mining method according to claim 7, wherein said text selection step including:
a degree of assurance generation step of generating, for each said text of the same class, a degree of assurance indicative of a degree of correlation between the text of the same class and non-text data from which the text of the same class originates based on a reliability of the text of the same class; and
a selection step of selecting text of the same class having the highest degree of assurance as said part of texts of the same class from among said plurality of texts of the same class.
9. The text mining method according to claim 8, wherein
said reliability storage unit stores, for each word included in said text, a reliability derived from formation of said non-text data from which the text originates into texts,
at said text mining step, a word is used as said characteristic, and
at said degree of assurance generation step, for each said text of the same class, a reliability of a word used as said characteristic in the text of the same class is read from said reliability storage unit and for each said text of the same class, said degree of assurance is generated based on the reliability of the word as said characteristic in the text of the same class.
10. The text mining method according to claim 8, wherein
said reliability storage unit stores, for each word included in said text, a reliability derived from formation of said non-text data from which the text originates into texts,
at said text mining step, a word is used as said characteristic, and
at said degree of assurance generation step, for each said text of the same class, a reliability of a word used as said characteristic in the text of the same class and a reliability of a word in proximity to the word in question are read from said reliability storage unit and for each said text of the same class, said degree of assurance is generated based on the reliabilities of the word as said characteristic in the text of the same class and of the word in proximity to the word in question.
11. The text mining method according to claim 8, wherein
said reliability storage unit stores, for each word included in said text, a reliability derived from formation of said non-text data from which the text originates into texts,
at said text mining step, a word is used as said characteristic, and
at said degree of assurance generation step, for each said text of the same class, reliabilities of all the words in the text of the same class are read from said reliability storage unit to generate, for each said text of the same class, said degree of assurance based on the reliabilities of all the words in the text of the same class.
12. The text mining method according to claim 7, wherein said text selection step including:
a degree of assurance generation step of generating, for each said text of the same class, a degree of assurance indicative of a degree of correlation between the text of the same class and non-text data from which the text of the same class originates based on a reliability of the text of the same class; and
a degree of assurance output step of outputting said degree of assurance together with said part of texts of the same class.
13. A computer readable medium for storing a text mining program causing a computer to execute text mining processing which computer is connected to a text set storage unit for storing a plurality of texts obtained by forming a plurality of non-text data into texts and a reliability storage unit for storing, for each of a plurality of texts stored in said text set storage unit, a reliability of the text which is derived from formation of said non-text data from which the text originates into texts,
said text mining processing including:
a text mining processing of executing, with respect to a plurality of texts stored in said text set storage unit, text mining of searching a plurality of texts of the same class having the same characteristic from the plurality of texts; and
a text selection processing of reading, when said plurality of texts of the same class are searched, a reliability of each text of the same class from said reliability storage unit to select a part of texts of the same class from the plurality of texts of the same class based on the reliability.
14. The computer readable medium for storing the text mining program according to claim 13, wherein said text selection processing including:
a degree of assurance generation processing of generating, for each said text of the same class, a degree of assurance indicative of a degree of correlation between the text of the same class and non-text data from which the text of the same class originates based on a reliability of the text of the same class; and
a selection processing of selecting text of the same class having the highest degree of assurance as said part of texts of the same class from among said plurality of texts of the same class.
15. The computer readable medium for storing the text mining program according to claim 14, wherein
said reliability storage unit stores, for each word included in said text, a reliability derived from formation of said non-text data from which the text originates into texts,
in said text mining processing, a word is used as said characteristic, and
in said degree of assurance generation processing, for each said text of the same class, a reliability of a word used as said characteristic in the text of the same class is read from said reliability storage unit to generate, for each said text of the same class, said degree of assurance based on the reliability of the word as said characteristic in the text of the same class.
16. The computer readable medium for storing the text mining program according to claim 14, wherein
said reliability storage unit stores, for each word included in said text, a reliability derived from formation of said non-text data from which the text originates into texts,
in said text mining processing, a word is used as said characteristic, and
in said degree of assurance generation processing, for each said text of the same class, a reliability of a word used as said characteristic in the text of the same class and a reliability of a word in proximity to the word in question are read from said reliability storage unit to generate, for each said text of the same class, said degree of assurance based on the reliabilities of the word as said characteristic in the text of the same class and of the word in proximity to the word in question.
17. The computer readable medium for storing the text mining program according to claim 14, wherein
said reliability storage unit stores, for each word included in said text, a reliability derived from formation of said non-text data from which the text originates into texts,
in said text mining processing, a word is used as said characteristic, and
in said degree of assurance generation processing, for each said text of the same class, reliabilities of all the words in the text of the same class are read from said reliability storage unit to generate, for each said text of the same class, said degree of assurance based on the reliabilities of all the words in the text of the same class.
18. The computer readable medium for storing the text mining program according to claim 13, wherein said text selection processing including:
a degree of assurance generation processing of generating, for each said text of the same class, a degree of assurance indicative of a degree of correlation between the text of the same class and non-text data from which the text of the same class originates based on a reliability of the text of the same class; and
a degree of assurance output processing of outputting said degree of assurance together with said part of texts of the same class.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1. A cable connector, comprising:
an insulative housing defining a plurality of passageways therethrough;
a plurality of contacts assembled to the insulative housing and respectively received in the passageways;
a cable comprising a plurality of conductors respectively electrically connecting with the contacts to form a plurality of junctions;
a cover enclosing the rear end of the housing and junctions between the contacts and the cable, the cover having a mating face having at least a longer edge and a projection formed on an outer periphery of the cover with a front surface coplanar with the mating face of the cover the projection and defining a fastening hole therethrough; and
a fastening member fixed to the cover and coupling with the fastening hole for fastening the cable connector to a coupling device.
2. The cable connector as claimed in claim 1, wherein the cover further comprises a step formed in the inner periphery of the fastening hole.
3. The cable connector as claimed in claim 2, wherein the diameter of the rear portion of the fastening hole is different from that of the front portion of the fastening hole, and the length of the wider portion of the fastening hole is different from that of the narrower portion.
4. The cable connector as claimed in claim 2, wherein the fastening member comprises an operating portion, a fastening portion, and a flange protruding outwardly from the end of the base portion and adjoining the fastening portion to couple with the step in the fastening hole in the cover.
5. The cable connector as claimed in claim 1, wherein the cover of the cable connector comprises an inner mold enclosing the junctions of the contacts and the conductors of the cable and an outer mold enclosing the inner mold and the cable.
6. The cable connector as claimed in claim 5, wherein the projection is formed on the out periphery of the outer mold.
7. The cable connector as claimed in claim 5, further comprising a conductive shell enclosing the insulative housing, and wherein the rear portion of the conductive shell is enclosed by the inner mold.
8. The cable connector as claimed in claim 6, wherein the cable connector further comprises a spacer sealing the rear portion of the insulative housing.
9. The cable connector as claimed in claim 7, wherein the spacer has at least a protrusion on upper and lower surfaces and wherein the conductive shell defines an engaging hole coupling with the projection.
10. The cable connector as claimed in claim 1, wherein the cable connector is in accordance with HDMI (High-Definition Digital Multimedia Interface) standard.
11. The cable connector as claimed in claim 1, wherein the insulative housing comprises an upper wall, a lower wall and a receiving space formed therebetween, the upper wall parallels the lower wall and shorter than the lower wall.
12. The cable connector as claimed in claim 11, wherein the passageways are formed in the inner surfaces of the upper wall and lower wall and wherein the numbers of the passageways on the upper wall and lower wall are not equal to each other.
13. A cable connector assembly comprising:
an insulative housing defining a mating port in a front portion thereof and defining a mating direction along a front-to-back direction;
a plurality of contacts disposed in the housing and exposed to the mating port;
a cable having a plurality of conductors electrically connected to the corresponding contacts, respectively;
an insulative cover integrally molded over a rear portion of the housing and a front portion of the cable; and
said cover defines a protrusion with a locking screw attached thereto and back and forth moveable along said front-to-back direction; wherein
said mating port defines a long side and a short side, and the locking screw is located by the long side and accessibly operable from two sides of said locking screw along said long side.
14. The connector assembly as claimed in claim 13, wherein said cover and said housing are made from different materials.
15. The connector assembly as claimed in claim 13, wherein a surface of said cover, which the locking screw is located on, is raised for protecting a tail of the locking screw.
16. The connector assembly as claimed in claim 13, wherein said protrusion defines a peak configuration and the locking screw is close to said peak.